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Wikipedia

Smart grid

The smart grid is an enhancement of the 20th century electrical grid, using two-way communications and distributed so-called intelligent devices. Two-way flows of electricity and information could improve the delivery network. Research is mainly focused on three systems of a smart grid – the infrastructure system, the management system, and the protection system.[1] Electronic power conditioning and control of the production and distribution of electricity are important aspects of the smart grid.[2]

Characteristics of a traditional system (left) versus the smart grid (right)

The smart grid represents the full suite of current and proposed responses to the challenges of electricity supply. Numerous contributions to the overall improvement of the efficiency of energy infrastructure are anticipated from the deployment of smart grid technology, in particular including demand-side management. The improved flexibility of the smart grid permits greater penetration of highly variable renewable energy sources such as solar power and wind power, even without the addition of energy storage. Smart grids could also monitor/control residential devices that are noncritical during periods of peak power consumption, and return their function during nonpeak hours.[3]

A smart grid includes a variety of operation and energy measures:

Concerns with smart grid technology mostly focus on smart meters, items enabled by them, and general security issues. Roll-out of smart grid technology also implies a fundamental re-engineering of the electricity services industry, although typical usage of the term is focused on the technical infrastructure.[7]

Smart grid policy is organized in Europe as Smart Grid European Technology Platform.[8] Policy in the United States is described in 42 U.S.C. ch. 152, subch. IX § 17381.

Background edit

Historical development of the electricity grid edit

The first alternating current power grid system was installed in 1886 in Great Barrington, Massachusetts.[9] At that time, the grid was a centralized unidirectional system of electric power transmission, electricity distribution, and demand-driven control.

In the 20th century, local grids grew over time and were eventually interconnected for economic and reliability reasons. By the 1960s, the electric grids of developed countries had become very large, mature, and highly interconnected, with thousands of 'central' generation power stations delivering power to major load centres via high capacity power lines which were then branched and divided to provide power to smaller industrial and domestic users over the entire supply area. The topology of the 1960s grid was a result of the strong economies of scale: large coal-, gas- and oil-fired power stations in the 1 GW (1000 MW) to 3 GW scale are still found to be cost-effective, due to efficiency-boosting features that can be cost-effective only when the stations become very large.

Power stations were located strategically to be close to fossil fuel reserves (either the mines or wells themselves or else close to rail, road, or port supply lines). Siting of hydroelectric dams in mountain areas also strongly influenced the structure of the emerging grid. Nuclear power plants were sited for the availability of cooling water. Finally, fossil fuel-fired power stations were initially very polluting and were sited as far as economically possible from population centres once electricity distribution networks permitted it. By the late 1960s, the electricity grid reached the overwhelming majority of the population of developed countries, with only outlying regional areas remaining 'off-grid'.

Metering of electricity consumption was necessary on a per-user basis in order to allow appropriate billing according to the (highly variable) level of consumption of different users. Because of limited data collection and processing capability during the period of growth of the grid, fixed-tariff arrangements were commonly put in place, as well as dual-tariff arrangements where night-time power was charged at a lower rate than daytime power. The motivation for dual-tariff arrangements was the lower night-time demand. Dual tariffs made possible the use of low-cost night-time electrical power in applications such as the maintaining of 'heat banks' which served to 'smooth out' the daily demand, and reduce the number of turbines that needed to be turned off overnight, thereby improving the utilisation and profitability of the generation and transmission facilities. The metering capabilities of the 1960s grid meant technological limitations on the degree to which price signals could be propagated through the system.

From the 1970s to the 1990s, growing demand led to increasing numbers of power stations. In some areas, the supply of electricity, especially at peak times, could not keep up with this demand, resulting in poor power quality including blackouts, power cuts, and brownouts. Increasingly, electricity was depended on for industry, heating, communication, lighting, and entertainment, and consumers demanded ever-higher levels of reliability.

Towards the end of the 20th century, electricity demand patterns were established: domestic heating and air-conditioning led to daily peaks in demand that were met by an array of 'peaking power generators' that would only be turned on for short periods each day. The relatively low utilisation of these peaking generators (commonly, gas turbines were used due to their relatively lower capital cost and faster start-up times), together with the necessary redundancy in the electricity grid, resulting in high costs to the electricity companies, which were passed on in the form of increased tariffs.

In the 21st century, some developing countries like China, India, and Brazil were seen as pioneers of smart grid deployment.[10]

Modernization opportunities edit

Since the early 21st century, opportunities to take advantage of improvements in electronic communication technology to resolve the limitations and costs of the electrical grid have become apparent. Technological limitations on metering no longer force peak power prices to be averaged out and passed on to all consumers equally. In parallel, growing concerns over environmental damage from fossil-fired power stations have led to a desire to use large amounts of renewable energy. Dominant forms such as wind power and solar power are highly variable, and so the need for more sophisticated control systems became apparent, to facilitate the connection of sources to the otherwise highly controllable grid.[11] Power from photovoltaic cells (and to lesser extent wind turbines) has also, significantly, called into question the imperative for large, centralised power stations. The rapidly falling costs point to a major change from the centralised grid topology to one that is highly distributed, with power being both generated and consumed right at the limits of the grid. Finally, growing concern over terrorist attacks in some countries has led to calls for a more robust energy grid that is less dependent on centralised power stations that were perceived to be potential attack targets.[12]

Definition of "smart grid" edit

Video about smart grids

United States edit

The first official definition of Smart Grid was provided by the Energy Independence and Security Act of 2007 (EISA-2007), which was approved by the US Congress in January 2007, and signed to law by President George W. Bush in December 2007. Title XIII of this bill provides a description, with ten characteristics, that can be considered a definition for Smart Grid, as follows:

"It is the policy of the United States to support the modernization of the Nation's electricity transmission and distribution system to maintain a reliable and secure electricity infrastructure that can meet future demand growth and to achieve each of the following, which together characterize a Smart Grid: (1) Increased use of digital information and controls technology to improve reliability, security, and efficiency of the electric grid. (2) Dynamic optimization of grid operations and resources, with full cyber-security. (3) Deployment and integration of distributed resources and generation, including renewable resources. (4) Development and incorporation of demand response, demand-side resources, and energy-efficiency resources. (5) Deployment of 'smart' technologies (real-time, automated, interactive technologies that optimize the physical operation of appliances and consumer devices) for metering, communications concerning grid operations and status, and distribution automation. (6) Integration of 'smart' appliances and consumer devices. (7) Deployment and integration of advanced electricity storage and peak-shaving technologies, including plug-in electric and hybrid electric vehicles, and thermal storage air conditioning. (8) Provision to consumers of timely information and control options. (9) Development of standards for communication and interoperability of appliances and equipment connected to the electric grid, including the infrastructure serving the grid. (10) Identification and lowering of unreasonable or unnecessary barriers to adoption of smart grid technologies, practices, and services."

European Union edit

The European Union Commission Task Force for Smart Grids also provides smart grid definition[13][14][15] as:

"A Smart Grid is an electricity network that can cost efficiently integrate the behaviour and actions of all users connected to it – generators, consumers and those that do both – in order to ensure economically efficient, sustainable power system with low losses and high levels of quality and security of supply and safety. A smart grid employs innovative products and services together with intelligent monitoring, control, communication, and self-healing technologies in order to:

  1. Better facilitate the connection and operation of generators of all sizes and technologies.
  2. Allow consumers to play a part in optimising the operation of the system.
  3. Provide consumers with greater information and options for how they use their supply.
  4. Significantly reduce the environmental impact of the whole electricity supply system.
  5. Maintain or even improve the existing high levels of system reliability, quality and security of supply.
  6. Maintain and improve the existing services efficiently."

That definition was used in the European Commission Communication (2011) 202.[16]

A common element to most definitions is the application of digital processing and communications to the power grid, making data flow and information management central to the smart grid. Various capabilities result from the deeply integrated use of digital technology with power grids. Integration of the new grid information is one of the key issues in the design of smart grids. Electric utilities now find themselves making three classes of transformations: improvement of infrastructure, called the strong grid in China; addition of the digital layer, which is the essence of the smart grid; and business process transformation, necessary to capitalize on the investments in smart technology. Much of the work that has been going on in electric grid modernization, especially substation and distribution automation, is now included in the general concept of the smart grid.[17]

Early technological innovations edit

Smart grid technologies emerged from earlier attempts at using electronic control, metering, and monitoring. In the 1980s, automatic meter reading was used for monitoring loads from large customers and evolved into the Advanced Metering Infrastructure of the 1990s, whose meters could store how electricity was used at different times of the day.[18] Smart meters add continuous communications so that monitoring can be done in real-time, and can be used as a gateway to demand response-aware devices and "smart sockets" in the home. Early forms of such demand side management technologies were dynamic demand aware devices that passively sensed the load on the grid by monitoring changes in the power supply frequency. Devices such as industrial and domestic air conditioners, refrigerators, and heaters adjusted their duty cycle to avoid activation during times the grid was suffering a peak condition. Beginning in 2000, Italy's Telegestore Project was the first to network large numbers (27 million) of homes using smart meters connected via low bandwidth power line communication.[19] Some experiments used the term broadband over power lines (BPL), while others used wireless technologies such as mesh networking promoted for more reliable connections to disparate devices in the home as well as supporting metering of other utilities such as gas and water.[11]

Monitoring and synchronization of wide-area networks were revolutionized in the early 1990s when the Bonneville Power Administration expanded its smart grid research with prototype sensors that are capable of very rapid analysis of anomalies in electricity quality over very large geographic areas. The culmination of this work was the first operational Wide Area Measurement System (WAMS) in 2000.[20] Other countries are rapidly integrating this technology — China started having a comprehensive national WAMS when the past 5-year economic plan was completed in 2012.[21]

The earliest deployments of smart grids include the Italian system Telegestore (2005), the mesh network of Austin, Texas (since 2003), and the smart grid in Boulder, Colorado (2008). See § Deployments and attempted deployments below.

Features edit

A smart grid would allow the power industry to observe and control parts of the system at higher resolution in time and space.[22] One of the purposes of the smart grid is real time information exchange to make operation as efficient as possible. It would allow management of the grid on all time scales from high-frequency switching devices on a microsecond scale, to wind and solar output variations on a minute scale, to the future effects of the carbon emissions generated by power production on a decade scale.

The smart grid represents the full suite of current and proposed responses to the challenges of electricity supply. Because of the diverse range of factors, there are numerous competing taxonomies and no agreement on a universal definition. Nevertheless, one possible categorization is given here.

Reliability edit

The smart grid makes use of technologies such as state estimation,[23] that improve fault detection and allow self-healing of the network without the intervention of technicians. This will ensure a more reliable supply of electricity and reduce vulnerability to natural disasters or attacks.

Although multiple routes are touted as a feature of the smart grid, the old grid also featured multiple routes. Initial power lines in the grid were built using a radial model, later connectivity was guaranteed via multiple routes, referred to as a network structure. However, this created a new problem: if the current flow or related effects across the network exceed the limits of any particular network element, it could fail, and the current would be shunted to other network elements, which eventually may fail also, causing a domino effect. See power outage. A technique to prevent this is load shedding by rolling blackout or voltage reduction (brownout).[24][25]

Flexibility in network topology edit

Next-generation transmission and distribution infrastructure will be better able to handle possible bidirectional energy flows, allowing for distributed generation such as from photovoltaic panels on building roofs, but also charging to/from the batteries of electric cars, wind turbines, pumped hydroelectric power, the use of fuel cells, and other sources.

Classic grids were designed for a one-way flow of electricity, but if a local sub-network generates more power than it is consuming, the reverse flow can raise safety and reliability issues.[26] A smart grid aims to manage these situations.[11]

Efficiency edit

Numerous contributions to the overall improvement of the efficiency of energy infrastructure are anticipated from the deployment of smart grid technology, in particular including demand-side management, for example turning off air conditioners during short-term spikes in electricity price, reducing the voltage when possible on distribution lines 2013-06-27 at the Wayback Machine through Voltage/VAR Optimization (VVO), eliminating truck-rolls for meter reading, and reducing truck-rolls by improved outage management using data from Advanced Metering Infrastructure systems. The overall effect is less redundancy in transmission and distribution lines, and greater utilization of generators, leading to lower power prices[citation needed].

Load adjustment/Load balancing edit

The total load connected to the power grid can vary significantly over time. Although the total load is the sum of many individual choices of the clients, the overall load is not necessarily stable or slow varying. For example, if a popular television program starts, millions of televisions will start to draw current instantly. Traditionally, to respond to a rapid increase in power consumption, faster than the start-up time of a large generator, some spare generators are put on a dissipative standby mode.[citation needed] A smart grid may warn all individual television sets, or another larger customer, to reduce the load temporarily[27] (to allow time to start up a larger generator) or continuously (in the case of limited resources). Using mathematical prediction algorithms it is possible to predict how many standby generators need to be used, to reach a certain failure rate. In the traditional grid, the failure rate can only be reduced at the cost of more standby generators. In a smart grid, the load reduction by even a small portion of the clients may eliminate the problem.

Peak curtailment/leveling and time of use pricing edit

 
Peak load avoidance by smart charging of electric vehicles

To reduce demand during the high-cost peak usage periods, communications and metering technologies inform smart devices in the home and business when energy demand is high and track how much electricity is used and when it is used. It also gives utility companies the ability to reduce consumption by communicating to devices directly in order to prevent system overloads. Examples would be a utility reducing the usage of a group of electric vehicle charging stations or shifting temperature set points of air conditioners in a city.[27] To motivate them to cut back use and perform what is called peak curtailment or peak leveling, prices of electricity are increased during high demand periods and decreased during low demand periods.[11] It is thought that consumers and businesses will tend to consume less during high-demand periods if it is possible for consumers and consumer devices to be aware of the high price premium for using electricity at peak periods. This could mean making trade-offs such as cycling on/off air conditioners or running dishwashers at 9 pm instead of 5 pm. When businesses and consumers see a direct economic benefit of using energy at off-peak times, the theory is that they will include the energy cost of operation into their consumer device and building construction decisions and hence become more energy efficient.

Sustainability edit

The improved flexibility of the smart grid permits greater penetration of highly variable renewable energy sources such as solar power and wind power, even without the addition of energy storage. Current network infrastructure is not built to allow for many distributed feed-in points, and typically even if some feed-in is allowed at the local (distribution) level, the transmission-level infrastructure cannot accommodate it. Rapid fluctuations in distributed generation, such as due to cloudy or gusty weather, present significant challenges to power engineers who need to ensure stable power levels through varying the output of the more controllable generators such as gas turbines and hydroelectric generators. Smart grid technology is a necessary condition for very large amounts of renewable electricity on the grid for this reason. There is also support for vehicle-to-grid.[28]

Market-enabling edit

The smart grid allows for systematic communication between suppliers (their energy price) and consumers (their willingness-to-pay), and permits both the suppliers and the consumers to be more flexible and sophisticated in their operational strategies. Only the critical loads will need to pay the peak energy prices, and consumers will be able to be more strategic in when they use energy. Generators with greater flexibility will be able to sell energy strategically for maximum profit, whereas inflexible generators such as base-load steam turbines and wind turbines will receive a varying tariff based on the level of demand and the status of the other generators currently operating. The overall effect is a signal that awards energy efficiency, and energy consumption that is sensitive to the time-varying limitations of the supply. At the domestic level, appliances with a degree of energy storage or thermal mass (such as refrigerators, heat banks, and heat pumps) will be well placed to 'play' the market and seek to minimise energy cost by adapting demand to the lower-cost energy support periods. This is an extension of the dual-tariff energy pricing mentioned above.

Demand response support edit

Demand response support allows generators and loads to interact in an automated fashion in real-time, coordinating demand to flatten spikes. Eliminating the fraction of demand that occurs in these spikes eliminates the cost of adding reserve generators, cuts wear and tear and extends the life of equipment, and allows users to cut their energy bills by telling low priority devices to use energy only when it is cheapest.[29]

Currently, power grid systems have varying degrees of communication within control systems for their high-value assets, such as in generating plants, transmission lines, substations, and major energy users. In general, information flows one way, from the users and the loads they control back to the utilities. The utilities attempt to meet the demand and succeed or fail to varying degrees (brownouts, rolling blackout, uncontrolled blackout). The total amount of power demanded by the users can have a very wide probability distribution which requires spare generating plants in standby mode to respond to the rapidly changing power usage. This one-way flow of information is expensive; the last 10% of generating capacity may be required as little as 1% of the time, and brownouts and outages can be costly to consumers.

Demand response can be provided by commercial, residential loads, and industrial loads.[30] For example, Alcoa's Warrick Operation is participating in MISO as a qualified Demand Response Resource,[31] and the Trimet Aluminium uses its smelter as a short-term mega-battery.[32]

Latency of the data flow is a major concern, with some early smart meter architectures allowing actually as long as 24 hours delay in receiving the data, preventing any possible reaction by either supplying or demanding devices.[33]

Technology edit

The bulk of smart grid technologies are already used in other applications such as manufacturing and telecommunications and are being adapted for use in grid operations.[34]

  • Integrated communications: Areas for improvement include: substation automation, demand response, distribution automation, supervisory control, and data acquisition (SCADA), energy management systems, wireless mesh networks and other technologies, power-line carrier communications, and fiber-optics.[11] Integrated communications will allow for real-time control, information, and data exchange to optimize system reliability, asset utilization, and security.[35]
  • Sensing and measurement: core duties are evaluating congestion and grid stability, monitoring equipment health, energy theft prevention,[36] and control strategies support. Technologies include advanced microprocessor meters (smart meter) and meter reading equipment, wide-area monitoring systems, (typically based on online readings by Distributed temperature sensing combined with Real time thermal rating (RTTR) systems), electromagnetic signature measurement/analysis, time-of-use, and real-time pricing tools, advanced switches and cables, backscatter radio technology, and Digital protective relays.
  • Smart meters.
  • Phasor measurement units. Many in the power systems engineering community believe that the Northeast blackout of 2003 could have been contained to a much smaller area if a wide area phasor measurement network had been in place.[37]
  • Distributed power flow control: power flow control devices clamp onto existing transmission lines to control the flow of power within. Transmission lines enabled with such devices support greater use of renewable energy by providing more consistent, real-time control over how that energy is routed within the grid. This technology enables the grid to more effectively store intermittent energy from renewables for later use.[38]
  • Smart power generation using advanced components: smart power generation is a concept of matching electricity generation with demand using multiple identical generators which can start, stop and operate efficiently at chosen load, independently of the others, making them suitable for baseload and peaking power generation.[39] Matching supply and demand, called load balancing,[27] is essential for a stable and reliable supply of electricity. Short-term deviations in the balance lead to frequency variations and a prolonged mismatch results in blackouts. Operators of power transmission systems a charged with the balancing task, matching the power output of all the generators to the load of their electrical grid. The load balancing task has become much more challenging as increasingly intermittent and variable generators such as wind turbines and solar cells are added to the grid, forcing other producers to adapt their output much more frequently than has been required in the past. The first two dynamic grid stability power plants utilizing the concept have been ordered by Elering and will be built by Wärtsilä in Kiisa, Estonia (Kiisa Power Plant). Their purpose is to "provide dynamic generation capacity to meet sudden and unexpected drops in the electricity supply". They are scheduled to be ready during 2013 and 2014, and their total output will be 250 MW.[40]
  • Power system automation enables rapid diagnosis of and precise solutions to specific grid disruptions or outages. These technologies rely on and contribute to each of the other four key areas. Three technology categories for advanced control methods are distributed intelligent agents (control systems), analytical tools (software algorithms and high-speed computers), and operational applications (SCADA, substation automation, demand response, etc.). Using artificial intelligence programming techniques, the Fujian power grid in China created a wide area protection system that is rapidly able to accurately calculate a control strategy and execute it.[41] The Voltage Stability Monitoring & Control (VSMC) software uses a sensitivity-based successive linear programming method to reliably determine the optimal control solution.[42]

IT companies disrupting the energy market edit

Smart grid provides IT-based solutions which the traditional power grid is lacking. These new solutions pave the way of new entrants that were traditionally not related to the energy grid.[43][44] Technology companies are disrupting the traditional energy market players in several ways. They develop complex distribution systems to meet the more decentralized power generation due to microgrids. Additionally is the increase in data collection bringing many new possibilities for technology companies as deploying transmission grid sensors at a user level and balancing system reserves.[45] The technology in microgrids makes energy consumption cheaper for households than buying from utilities. Additionally, residents can manage their energy consumption easier and more effectively with the connection to smart meters.[46] However, the performances and reliability of microgrids strongly depend on the continuous interaction between power generation, storage and load requirements.[47] A hybrid offering combining renewable energy sources with storing energy sources as coal and gas is showing the hybrid offering of a microgrid serving alone.

Consequences edit

As a consequence of the entrance of the technology companies in the energy market, utilities and DSO's need to create new business models to keep current customers and to create new customers.[48]

Focus on a customer engagement strategy edit

DSO's can focus on creating good customer engagement strategies to create loyalty and trust towards the customer.[49] To retain and attract customers who decide to produce their own energy through microgrids, DSO's can offer purchase agreements for the sale of surplus energy that the consumer produces.[48] Indifference from the IT companies, both DSO's and utilities can use their market experience to give consumers energy-use advice and efficiency upgrades to create excellent customer service.[50]

Create alliances with new entered technology companies edit

Instead of trying to compete against IT companies in their expertise, both utilities and DSO's can try to create alliances with IT companies to create good solutions together. The French utility company Engie did this by buying the service provider Ecova and OpTerra Energy Services.[51]

Renewable energy sources edit

The generation of renewable energy can often be connected at the distribution level, instead of the transmission grids,[52] which means that DSO's can manage the flows and distribute power locally. This brings new opportunity for DSO's to expand their market by selling energy directly to the consumer. Simultaneously, this is challenging the utilities producing fossil fuels who already are trapped by high costs of aging assets.[53] Stricter regulations for producing traditional energy resources from the government increases the difficulty of stay in business and increases the pressure on traditional energy companies to make the shift to renewable energy sources.[54][55] An example of a utility changing business model to produce more renewable energy is the Norwegian-based company, Equinor, which was a state-owned oil company which now are heavily investing in renewable energy.

Combined cycle hydrogen power plant edit

 
Renewable and conventional energy production in Germany over two weeks in 2022. In hours with low wind and PV production, hard coal and gas fill the gap. Nuclear and biomass show almost no flexibility. PV follows the increased consumption during daytime hours but varies seasonally.

Wind and solar power are variable renewable energy sources that aren't as consistent as base load energy and a combined cycle hydrogen power plant could help renewables by capturing excess energy, with electrolysis, when they produce to much and fill the gaps with that energy when they aren't producing as much.

Research edit

Major programs edit

IntelliGrid – Created by the Electric Power Research Institute (EPRI), IntelliGrid architecture provides methodology, tools, and recommendations for standards and technologies for utility use in planning, specifying, and procuring IT-based systems, such as advanced metering, distribution automation, and demand response. The architecture also provides a living laboratory for assessing devices, systems, and technology. Several utilities have applied IntelliGrid architecture including Southern California Edison, Long Island Power Authority, Salt River Project, and TXU Electric Delivery. The IntelliGrid Consortium is a public/private partnership that integrates and optimizes global research efforts, funds technology R&D, works to integrate technologies, and disseminates technical information.[56]

Grid 2030 – Grid 2030 is a joint vision statement for the U.S. electrical system developed by the electric utility industry, equipment manufacturers, information technology providers, federal and state government agencies, interest groups, universities, and national laboratories. It covers generation, transmission, distribution, storage, and end-use.[57] The National Electric Delivery Technologies Roadmap is the implementation document for the Grid 2030 vision. The Roadmap outlines the key issues and challenges for modernizing the grid and suggests paths that government and industry can take to build America's future electric delivery system.[58]

Modern Grid Initiative (MGI) is a collaborative effort between the U.S. Department of Energy (DOE), the National Energy Technology Laboratory (NETL), utilities, consumers, researchers, and other grid stakeholders to modernize and integrate the U.S. electrical grid. DOE's Office of Electricity Delivery and Energy Reliability (OE) sponsors the initiative, which builds upon Grid 2030 and the National Electricity Delivery Technologies Roadmap and is aligned with other programs such as GridWise and GridWorks.[59]

GridWise – A DOE OE program focused on developing information technology to modernize the U.S. electrical grid. Working with the GridWise Alliance, the program invests in communications architecture and standards; simulation and analysis tools; smart technologies; test beds and demonstration projects; and new regulatory, institutional, and market frameworks. The GridWise Alliance is a consortium of public and private electricity sector stakeholders, providing a forum for idea exchanges, cooperative efforts, and meetings with policy makers at federal and state levels.[60]

GridWise Architecture Council (GWAC) was formed by the U.S. Department of Energy to promote and enable interoperability among the many entities that interact with the nation's electric power system. The GWAC members are a balanced and respected team representing the many constituencies of the electricity supply chain and users. The GWAC provides industry guidance and tools to articulate the goal of interoperability across the electric system, identify the concepts and architectures needed to make interoperability possible, and develop actionable steps to facilitate the inter operation of the systems, devices, and institutions that encompass the nation's electric system. The GridWise Architecture Council Interoperability Context Setting Framework, V 1.1 defines necessary guidelines and principles.[61]

GridWorks – A DOE OE program focused on improving the reliability of the electric system through modernizing key grid components such as cables and conductors, substations and protective systems, and power electronics. The program's focus includes coordinating efforts on high temperature superconducting systems, transmission reliability technologies, electric distribution technologies, energy storage devices, and GridWise systems.[62]

Pacific Northwest Smart Grid Demonstration Project. - This project is a demonstration across five Pacific Northwest states-Idaho, Montana, Oregon, Washington, and Wyoming. It involves about 60,000 metered customers, and contains many key functions of the future smart grid.[63]

Solar Cities - In Australia, the Solar Cities programme included close collaboration with energy companies to trial smart meters, peak and off-peak pricing, remote switching and related efforts. It also provided some limited funding for grid upgrades.[64]

Smart Grid Energy Research Center (SMERC) - Located at University of California, Los Angeles dedicated its efforts to large-scale testing of its smart EV charging network technology. It created another platform for bidirectional flow of information between a utility and consumer end-devices. SMERC also developed a demand response (DR) test bed that comprises a Control Center, Demand Response Automation Server (DRAS), Home-Area-Network (HAN), Battery Energy Storage System (BESS), and photovoltaic (PV) panels. These technologies are installed within the Los Angeles Department of Water and Power and Southern California Edison territory as a network of EV chargers, battery energy storage systems, solar panels, DC fast charger, and Vehicle-to-Grid (V2G) units. These platforms, communications and control networks enables UCLA-led projects within the area to be tested in partnership with two local utilities, SCE and LADWP.[65]

Smart Quart - In Germany, the Smart Quart project develops three smart districts to develop, test and showcase technology to operate smart grids. The project is a collaboration of E.ON, Viessmann, gridX and hydrogenious together with the RWTH Aachen University. It is planned that by the end of 2024 all three districts are supplied with locally generated energy and are largely independent of fossil energy sources.[66]

Smart grid modelling edit

Many different concepts have been used to model intelligent power grids. They are generally studied within the framework of complex systems. In a recent brainstorming session,[67] the power grid was considered within the context of optimal control, ecology, human cognition, glassy dynamics, information theory, microphysics of clouds, and many others. Here is a selection of the types of analyses that have appeared in recent years.

Protection systems that verify and supervise themselves

Pelqim Spahiu and Ian R. Evans in their study introduced the concept of a substation based smart protection and hybrid Inspection Unit.[68][69]

Kuramoto oscillators

The Kuramoto model is a well-studied system. The power grid has been described in this context as well.[70][71] The goal is to keep the system in balance, or to maintain phase synchronization (also known as phase locking). Non-uniform oscillators also help to model different technologies, different types of power generators, patterns of consumption, and so on. The model has also been used to describe the synchronization patterns in the blinking of fireflies.[70]

Smart Grid Communication Network

Network Simulators are used to simulate/emulate network communication effects. This typically involves setting up a lab with the smart grid devices, applications etc. with the virtual network being provided by the network simulator.[72][73]

Neural networks

Neural networks have been considered for power grid management as well. Electric power systems can be classified in multiple different ways: non-linear, dynamic, discrete, or random. Artificial Neural Networks (ANNs) attempt to solve the most difficult of these problems, the non-linear problems.

Demand Forecasting

One application of ANNs is in demand forecasting. In order for grids to operate economically and reliably, demand forecasting is essential, because it is used to predict the amount of power that will be consumed by the load. This is dependent on weather conditions, type of day, random events, incidents, etc. For non-linear loads though, the load profile isn't smooth and as predictable, resulting in higher uncertainty and less accuracy using the traditional Artificial Intelligence models. Some factors that ANNs consider when developing these sort of models: classification of load profiles of different customer classes based on the consumption of electricity, increased responsiveness of demand to predict real time electricity prices as compared to conventional grids, the need to input past demand as different components, such as peak load, base load, valley load, average load, etc. instead of joining them into a single input, and lastly, the dependence of the type on specific input variables. An example of the last case would be given the type of day, whether its weekday or weekend, that wouldn't have much of an effect on Hospital grids, but it'd be a big factor in resident housing grids' load profile.[74][75][76][77][78]

Markov processes

As wind power continues to gain popularity, it becomes a necessary ingredient in realistic power grid studies. Off-line storage, wind variability, supply, demand, pricing, and other factors can be modelled as a mathematical game. Here the goal is to develop a winning strategy. Markov processes have been used to model and study this type of system.[79]

Economics edit

Market outlook edit

In 2009, the US smart grid industry was valued at about $21.4 billion – by 2014, it will exceed at least $42.8 billion. Given the success of the smart grids in the U.S., the world market is expected to grow at a faster rate, surging from $69.3 billion in 2009 to $171.4 billion by 2014. With the segments set to benefit the most will be smart metering hardware sellers and makers of software used to transmit and organize the massive amount of data collected by meters.[80]

A 2011 study from the Electric Power Research Institute concludes that investment in a U.S. smart grid will cost up to $476 billion over 20 years but will provide up to $2 trillion in customer benefits over that time.[81] In 2015, the World Economic Forum reported a transformational investment of more than $7.6 trillion by members of the OECD is needed over the next 25 years (or $300 billion per year) to modernize, expand, and decentralize the electricity infrastructure with technical innovation as key to the transformation.[82] A 2019 study from International Energy Agency estimates that the current (depreciated) value of the US electric grid is more than USD 1 trillion. The total cost of replacing it with a smart grid is estimated to be more than USD 4 trillion. If smart grids are deployed fully across the US, the country expects to save USD 130 billion annually.[83]

General economics developments edit

As customers can choose their electricity suppliers, depending on their different tariff methods, the focus of transportation costs will be increased. Reduction of maintenance and replacements costs will stimulate more advanced control.

A smart grid precisely limits electrical power down to the residential level, network small-scale distributed energy generation and storage devices, communicate information on operating status and needs, collect information on prices and grid conditions, and move the grid beyond central control to a collaborative network.[84]

US and UK savings estimates and concerns edit

A 2003 United States Department of Energy study calculated that internal modernization of US grids with smart grid capabilities would save between 46 and 117 billion dollars over the next 20 years if implemented within a few years of the study.[85] As well as these industrial modernization benefits, smart grid features could expand energy efficiency beyond the grid into the home by coordinating low priority home devices such as water heaters so that their use of power takes advantage of the most desirable energy sources. Smart grids can also coordinate the production of power from large numbers of small power producers such as owners of rooftop solar panels — an arrangement that would otherwise prove problematic for power systems operators at local utilities.

One important question is whether consumers will act in response to market signals. The U.S. Department of Energy (DOE) as part of the American Recovery and Reinvestment Act Smart Grid Investment Grant and Demonstrations Program funded special consumer behavior studies to examine the acceptance, retention, and response of consumers subscribed to time-based utility rate programs 2015-03-18 at the Wayback Machine that involve advanced metering infrastructure and customer systems such as in-home displays and programmable communicating thermostats.

Another concern is that the cost of telecommunications to fully support smart grids may be prohibitive. A less expensive communication mechanism is proposed[citation needed] using a form of "dynamic demand management" where devices shave peaks by shifting their loads in reaction to grid frequency. Grid frequency could be used to communicate load information without the need of an additional telecommunication network, but it would not support economic bargaining or quantification of contributions.

Although there are specific and proven smart grid technologies in use, smart grid is an aggregate term for a set of related technologies on which a specification is generally agreed, rather than a name for a specific technology. Some of the benefits of such a modernized electricity network include the ability to reduce power consumption at the consumer side during peak hours, called demand side management; enabling grid connection of distributed generation power (with photovoltaic arrays, small wind turbines, micro hydro, or even combined heat power generators in buildings); incorporating grid energy storage for distributed generation load balancing; and eliminating or containing failures such as widespread power grid cascading failures. The increased efficiency and reliability of the smart grid is expected to save consumers money and help reduce CO2 emissions.[86]

Oppositions and concerns edit

Most opposition and concerns have centered on smart meters and the items (such as remote control, remote disconnect, and variable rate pricing) enabled by them. Where opposition to smart meters is encountered, they are often marketed as "smart grid" which connects smart grid to smart meters in the eyes of opponents. Specific points of opposition or concern include:

  • consumer concerns over privacy, e.g. use of usage data by law enforcement
  • social concerns over "fair" availability of electricity
  • concern that complex rate systems (e.g. variable rates) remove clarity and accountability, allowing the supplier to take advantage of the customer
  • concern over remotely controllable "kill switch" incorporated into most smart meters
  • social concerns over Enron style abuses of information leverage
  • concerns over giving the government mechanisms to control the use of all power using activities
  • concerns over RF emissions from smart meters

Security edit

While modernization of electrical grids into smart grids allows for optimization of everyday processes, a smart grid, being online, can be vulnerable to cyberattacks.[87][88] Transformers which increase the voltage of electricity created at power plants for long-distance travel, transmission lines themselves, and distribution lines which deliver the electricity to its consumers are particularly susceptible.[89] These systems rely on sensors which gather information from the field and then deliver it to control centers, where algorithms automate analysis and decision-making processes. These decisions are sent back to the field, where existing equipment execute them.[90] Hackers have the potential to disrupt these automated control systems, severing the channels which allow generated electricity to be utilized.[89] This is called a denial of service or DoS attack. They can also launch integrity attacks which corrupt information being transmitted along the system as well as desynchronization attacks which affect when such information is delivered to the appropriate location.[90] Additionally, intruders can gain access via renewable energy generation systems and smart meters connected to the grid, taking advantage of more specialized weaknesses or ones whose security has not been prioritized. Because a smart grid has a large number of access points, like smart meters, defending all of its weak points can prove difficult.[87] There is also concern on the security of the infrastructure, primarily that involving communications technology. Concerns chiefly center around the communications technology at the heart of the smart grid. Designed to allow real-time contact between utilities and meters in customers' homes and businesses, there is a risk that these capabilities could be exploited for criminal or even terrorist actions.[11] One of the key capabilities of this connectivity is the ability to remotely switch off power supplies, enabling utilities to quickly and easily cease or modify supplies to customers who default on payment. This is undoubtedly a massive boon for energy providers, but also raises some significant security issues.[91] Cybercriminals have infiltrated the U.S. electric grid before on numerous occasions.[92] Aside from computer infiltration, there are also concerns that computer malware like Stuxnet, which targeted SCADA systems which are widely used in industry, could be used to attack a smart grid network.[93]

Electricity theft is a concern in the U.S. where the smart meters being deployed use RF technology to communicate with the electricity transmission network.[citation needed] People with knowledge of electronics can devise interference devices to cause the smart meter to report lower than actual usage.[citation needed] Similarly, the same technology can be employed to make it appear that the energy the consumer is using is being used by another customer, increasing their bill.[citation needed]

The damage from a well-executed, sizable cyberattack could be extensive and long-lasting. One incapacitated substation could take from nine days to over a year to repair, depending on the nature of the attack. It can also cause an hours-long outage in a small radius. It could have an immediate effect on transportation infrastructure, as traffic lights and other routing mechanisms as well as ventilation equipment for underground roadways is reliant on electricity.[94] Additionally, infrastructure which relies on the electric grid, including wastewater treatment facilities, the information technology sector, and communications systems could be impacted.[94]

The December 2015 Ukraine power grid cyberattack, the first recorded of its kind, disrupted services to nearly a quarter of a million people by bringing substations offline.[95][96] The Council on Foreign Relations has noted that states are most likely to be the perpetrators of such an attack as they have access to the resources to carry one out despite the high level of difficulty of doing so. Cyber intrusions can be used as portions of a larger offensive, military or otherwise.[96] Some security experts warn that this type of event is easily scalable to grids elsewhere.[97] Insurance company Lloyd's of London has already modeled the outcome of a cyberattack on the Eastern Interconnection, which has the potential to impact 15 states, put 93 million people in the dark, and cost the country's economy anywhere from $243 billion to $1 trillion in various damages.[98]

According to the U.S. House of Representatives Subcommittee on Economic Development, Public Buildings, and Emergency Management, the electric grid has already seen a sizable number of cyber intrusions, with two in every five aiming to incapacitate it.[89] As such, the U.S. Department of Energy has prioritized research and development to decrease the electric grid's vulnerability to cyberattacks, citing them as an "imminent danger" in its 2017 Quadrennial Energy Review.[99] The Department of Energy has also identified both attack resistance and self-healing as major keys to ensuring that today's smart grid is future-proof.[90] While there are regulations already in place, namely the Critical Infrastructure Protection Standards introduced by the North America Electric Reliability Council, a significant number of them are suggestions rather than mandates.[96] Most electricity generation, transmission, and distribution facilities and equipment are owned by private stakeholders, further complicating the task of assessing adherence to such standards.[99] Additionally, even if utilities want to fully comply, they may find that it is too expensive to do so.[96]

Some experts argue that the first step to increasing the cyber defenses of the smart electric grid is completing a comprehensive risk analysis of existing infrastructure, including research of software, hardware, and communication processes. Additionally, as intrusions themselves can provide valuable information, it could be useful to analyze system logs and other records of their nature and timing. Common weaknesses already identified using such methods by the Department of Homeland Security include poor code quality, improper authentication, and weak firewall rules. Once this step is completed, some suggest that it makes sense to then complete an analysis of the potential consequences of the aforementioned failures or shortcomings. This includes both immediate consequences as well as second- and third-order cascading effects on parallel systems. Finally, risk mitigation solutions, which may include simple remediation of infrastructure inadequacies or novel strategies, can be deployed to address the situation. Some such measures include recoding of control system algorithms to make them more able to resist and recover from cyberattacks or preventive techniques that allow more efficient detection of unusual or unauthorized changes to data. Strategies to account for human error which can compromise systems include educating those who work in the field to be wary of strange USB drives, which can introduce malware if inserted, even if just to check their contents.[90]

Other solutions include utilizing transmission substations, constrained SCADA networks, policy based data sharing, and attestation for constrained smart meters.

Transmission substations utilize one-time signature authentication technologies and one-way hash chain constructs. These constraints have since been remedied with the creation of a fast-signing and verification technology and buffering-free data processing.[100]

A similar solution has been constructed for constrained SCADA networks. This involves applying a Hash-Based Message Authentication Code to byte streams, converting the random-error detection available on legacy systems to a mechanism that guarantees data authenticity.[100]

Policy-based data sharing utilizes GPS-clock-synchronized-fine-grain power grid measurements to provide increased grid stability and reliability. It does this through synchro-phasor requirements that are gathered by PMUs.[100]

Attestation for constrained smart meters faces a slightly different challenge, however. One of the biggest issues with attestation for constrained smart meters is that in order to prevent energy theft, and similar attacks, cyber security providers have to make sure that the devices' software is authentic. To combat this problem, an architecture for constrained smart networks has been created and implemented at a low level in the embedded system.[100]

The protection system of a smart grid provides grid reliability analysis, failure protection, and security and privacy protection services. While the additional communication infrastructure of a smart grid provides additional protective and security mechanisms, it also presents a risk of external attack and internal failures. In a report on cyber security of smart grid technology first produced in 2010, and later updated in 2014, the US National Institute of Standards and Technology pointed out that the ability to collect more data about energy use from customer smart meters also raises major privacy concerns, since the information stored at the meter, which is potentially vulnerable to data breaches, can be mined for personal details about customers.[101]

Other challenges to adoption edit

Before a utility installs an advanced metering system, or any type of smart system, it must make a business case for the investment. Some components, like the power system stabilizers (PSS)[clarification needed] installed on generators are very expensive, require complex integration in the grid's control system, are needed only during emergencies, and are only effective if other suppliers on the network have them. Without any incentive to install them, power suppliers don't.[102] Most utilities find it difficult to justify installing a communications infrastructure for a single application (e.g. meter reading). Because of this, a utility must typically identify several applications that will use the same communications infrastructure – for example, reading a meter, monitoring power quality, remote connection and disconnection of customers, enabling demand response, etc. Ideally, the communications infrastructure will not only support near-term applications, but unanticipated applications that will arise in the future. Regulatory or legislative actions can also drive utilities to implement pieces of a smart grid puzzle. Each utility has a unique set of business, regulatory, and legislative drivers that guide its investments. This means that each utility will take a different path to creating their smart grid and that different utilities will create smart grids at different adoption rates.[citation needed]

Some features of smart grids draw opposition from industries that currently are, or hope to provide similar services. An example is competition with cable and DSL Internet providers from broadband over powerline internet access. Providers of SCADA control systems for grids have intentionally designed proprietary hardware, protocols and software so that they cannot inter-operate with other systems in order to tie its customers to the vendor.[103]

The incorporation of digital communications and computer infrastructure with the grid's existing physical infrastructure poses challenges and inherent vulnerabilities. According to IEEE Security and Privacy Magazine, the smart grid will require that people develop and use large computer and communication infrastructure that supports a greater degree of situational awareness and that allows for more specific command and control operations. This process is necessary to support major systems such as demand-response wide-area measurement and control, storage and transportation of electricity, and the automation of electric distribution.[104]

Power Theft / Power Loss edit

Various "smart grid" systems have dual functions. This includes Advanced Metering Infrastructure systems which, when used with various software can be used to detect power theft and by process of elimination, detect where equipment failures have taken place. These are in addition to their primary functions of eliminating the need for human meter reading and measuring the time-of-use of electricity.

The worldwide power loss including theft is estimated at two-hundred billion dollars annually.[105]

Electricity theft also represents a major challenge when providing reliable electrical service in developing countries.[36]

Deployments and attempted deployments edit

Enel edit

The earliest, and one of the largest, example of a smart grid is the Italian system installed by Enel S.p.A. of Italy. Completed in 2005, the Telegestore project was highly unusual in the utility world because the company designed and manufactured their own meters, acted as their own system integrator, and developed their own system software. The Telegestore project is widely regarded as the first commercial scale use of smart grid technology to the home, and delivers annual savings of 500 million euro at a project cost of 2.1 billion euro.[19]

US Dept. of Energy - ARRA Smart Grid Project edit

One of the largest deployment programs in the world to-date is the U.S. Dept. of Energy's Smart Grid Program funded by the American Recovery and Reinvestment Act of 2009. This program required matching funding from individual utilities. A total of over $9 billion in Public/Private funds were invested as part of this program. Technologies included Advanced Metering Infrastructure, including over 65 million Advanced "Smart" Meters, Customer Interface Systems, Distribution & Substation Automation, Volt/VAR Optimization Systems, over 1,000 Synchrophasors, Dynamic Line Rating, Cyber Security Projects, Advanced Distribution Management Systems, Energy Storage Systems, and Renewable Energy Integration Projects. This program consisted of Investment Grants (matching), Demonstration Projects, Consumer Acceptance Studies, and Workforce Education Programs. Reports from all individual utility programs as well as overall impact reports will be completed by the second quarter of 2015.

In the U.S., the Energy Policy Act of 2005 and Title XIII of the Energy Independence and Security Act of 2007 are providing funding to encourage smart grid development. The objective is to enable utilities to better predict their needs, and in some cases involve consumers in a time-of-use tariff. Funds have also been allocated to develop more robust energy control technologies.[106][107]

Austin, Texas edit

In the US, the city of Austin, Texas, has been working on building its smart grid since 2003, when its utility first replaced 1/3 of its manual meters with smart meters that communicate via a wireless mesh network. It currently manages 200,000 devices real-time (smart meters, smart thermostats, and sensors across its service area), and expects to be supporting 500,000 devices real-time in 2009 servicing 1 million consumers and 43,000 businesses.[108]

Boulder, Colorado edit

Boulder, Colorado, completed the first phase of its smart grid project in August 2008. Both systems use the smart meter as a gateway to the home automation network (HAN) that controls smart sockets and devices. Some HAN designers favor decoupling control functions from the meter, out of concern of future mismatches with new standards and technologies available from the fast moving business segment of home electronic devices.[109]

Hydro One edit

Hydro One, in Ontario, Canada is in the midst of a large-scale Smart Grid initiative, deploying a standards-compliant communications infrastructure from Trilliant. By the end of 2010, the system will serve 1.3 million customers in the province of Ontario. The initiative won the "Best AMR Initiative in North America" award from the Utility Planning Network.[110]

Île d'Yeu edit

Île d'Yeu began a 2-year pilot program in Spring of 2020. Twenty-three houses in the Ker Pissot neighborhood and surrounding areas were interconnected with a microgrid that was automated as a smart grid with software from Engie. Sixty-four solar panels with a peak capacity of 23.7 kW were installed on five houses and a battery with a storage capacity of 15 kWh was installed on one house. Six houses store excess solar energy in their hot water heaters. A dynamic system apportions the energy provided by the solar panels and stored in the battery and hot water heaters to the system of 23 houses. The smart grid software dynamically updates energy supply and demand in 5 minute intervals, deciding whether to pull energy from the battery or from the panels and when to store it in the hot water heaters. This pilot program was the first such project in France.[111][112]

Mannheim edit

The City of Mannheim in Germany is using realtime Broadband Powerline (BPL) communications in its Model City Mannheim "MoMa" project.[113]

Sydney edit

Sydney also in Australia, in partnership with the Australian Government implemented the Smart Grid, Smart City program.[114]

Évora edit

InovGrid is an innovative project in Évora, Portugal that aims to equip the electricity grid with information and devices to automate grid management, improve service quality, reduce operating costs, promote energy efficiency and environmental sustainability, and increase the penetration of renewable energies and electric vehicles. It will be possible to control and manage the state of the entire electricity distribution grid at any given instant, allowing suppliers and energy services companies to use this technological platform to offer consumers information and added-value energy products and services. This project to install an intelligent energy grid places Portugal and EDP at the cutting edge of technological innovation and service provision in Europe.[115][116]

E-Energy edit

In the so-called E-Energy projects several German utilities are creating first nucleolus in six independent model regions. A technology competition identified this model regions to carry out research and development activities with the main objective to create an "Internet of Energy."[117]

Massachusetts edit

One of the first attempted deployments of "smart grid" technologies in the United States was rejected in 2009 by electricity regulators in the Commonwealth of Massachusetts, a US state.[118] According to an article in the Boston Globe, Northeast Utilities' Western Massachusetts Electric Co. subsidiary actually attempted to create a "smart grid" program using public subsidies that would switch low income customers from post-pay to pre-pay billing (using "smart cards") in addition to special hiked "premium" rates for electricity used above a predetermined amount.[118] This plan was rejected by regulators as it "eroded important protections for low-income customers against shutoffs".[118] According to the Boston Globe, the plan "unfairly targeted low-income customers and circumvented Massachusetts laws meant to help struggling consumers keep the lights on".[118] A spokesman for an environmental group supportive of smart grid plans and Western Massachusetts' Electric's aforementioned "smart grid" plan, in particular, stated "If used properly, smart grid technology has a lot of potential for reducing peak demand, which would allow us to shut down some of the oldest, dirtiest power plants... It's a tool."[118]

eEnergy Vermont consortium edit

The eEnergy Vermont consortium[119] is a US statewide initiative in Vermont, funded in part through the American Recovery and Reinvestment Act of 2009, in which all of the electric utilities in the state have rapidly adopted a variety of Smart Grid technologies, including about 90% Advanced Metering Infrastructure deployment, and are presently evaluating a variety of dynamic rate structures.

Netherlands edit

In the Netherlands a large-scale project (>5000 connections, >20 partners) was initiated to demonstrate integrated smart grids technologies, services and business cases.[120]

Chattanooga edit

EPB in Chattanooga, TN is a municipally-owned electric utility that started construction of a smart grid in 2008, receiving a $111,567,606 grant from the US DOE in 2009 to expedite construction and implementation (for a total budget of $232,219,350). Deployment of power-line interrupters (1170 units) was completed in April 2012, and deployment of smart meters (172,079 units) was completed in 2013. The smart grid's backbone fiber-optic system was also used to provide the first gigabit-speed internet connection to residential customers in the US through the Fiber to the Home initiative, and now speeds of up to 10 gigabits per second are available to residents. The smart grid is estimated to have reduced power outages by an average of 60%, saving the city about 60 million dollars annually. It has also reduced the need for "truck rolls" to scout and troubleshoot faults, resulting in an estimated reduction of 630,000 truck driving miles, and 4.7 million pounds of carbon emissions. In January 2016, EPB became the first major power distribution system to earn Performance Excellence in Electricity Renewal (PEER) certification.[121][122][123][124]

OpenADR Implementations edit

Certain deployments utilize the OpenADR standard for load shedding and demand reduction during higher demand periods.

China edit

The smart grid market in China is estimated to be $22.3 billion with a projected growth to $61.4 billion by 2015. Honeywell is developing a demand response pilot and feasibility study for China with the State Grid Corp. of China using the OpenADR demand response standard. The State Grid Corp., the Chinese Academy of Science, and General Electric intend to work together to develop standards for China's smart grid rollout.[125][126][127]

United States edit

In 2009, the US Department of Energy awarded an $11 million grant to Southern California Edison and Honeywell for a demand response program that automatically turns down energy use during peak hours for participating industrial customers.[128][129] The Department of Energy awarded an $11.4 million grant to Honeywell to implement the program using the OpenADR standard.[130]

Hawaiian Electric Co. (HECO) is implementing a two-year pilot project to test the ability of an ADR program to respond to the intermittence of wind power. Hawaii has a goal to obtain 70 percent of its power from renewable sources by 2030. HECO will give customers incentives for reducing power consumption within 10 minutes of a notice.[131]

Guidelines, standards and user groups edit

Part of the IEEE Smart Grid Initiative,[132] IEEE 2030.2 represents an extension of the work aimed at utility storage systems for transmission and distribution networks. The IEEE P2030 group expects to deliver early 2011 an overarching set of guidelines on smart grid interfaces. The new guidelines will cover areas including batteries and supercapacitors as well as flywheels. The group has also spun out a 2030.1 effort drafting guidelines for integrating electric vehicles into the smart grid.

IEC TC 57 has created a family of international standards that can be used as part of the smart grid. These standards include IEC 61850 which is an architecture for substation automation, and IEC 61970/61968 – the Common Information Model (CIM). The CIM provides for common semantics to be used for turning data into information.

OpenADR is an open-source smart grid communications standard used for demand response applications.[133] It is typically used to send information and signals to cause electrical power-using devices to be turned off during periods of higher demand.

MultiSpeak has created a specification that supports distribution functionality of the smart grid. MultiSpeak has a robust set of integration definitions that supports nearly all of the software interfaces necessary for a distribution utility or for the distribution portion of a vertically integrated utility. MultiSpeak integration is defined using extensible markup language (XML) and web services.

The IEEE has created a standard to support synchrophasors – C37.118.[134]

The UCA International User Group discusses and supports real world experience of the standards used in smart grids.

A utility task group within LonMark International deals with smart grid related issues.

There is a growing trend towards the use of TCP/IP technology as a common communication platform for smart meter applications, so that utilities can deploy multiple communication systems, while using IP technology as a common management platform.[135][136]

IEEE P2030 is an IEEE project developing a "Draft Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), and End-Use Applications and Loads".[137][138]

NIST has included ITU-T G.hn as one of the "Standards Identified for Implementation" for the Smart Grid "for which it believed there was strong stakeholder consensus".[139] G.hn is standard for high-speed communications over power lines, phone lines and coaxial cables.

OASIS EnergyInterop' – An OASIS technical committee developing XML standards for energy interoperation. Its starting point is the California OpenADR standard.

Under the Energy Independence and Security Act of 2007 (EISA), NIST is charged with overseeing the identification and selection of hundreds of standards that will be required to implement the Smart Grid in the U.S. These standards will be referred by NIST to the Federal Energy Regulatory Commission (FERC). This work has begun, and the first standards have already been selected for inclusion in NIST's Smart Grid catalog.[140] However, some commentators have suggested that the benefits that could be realized from Smart Grid standardization could be threatened by a growing number of patents that cover Smart Grid architecture and technologies.[141] If patents that cover standardized Smart Grid elements are not revealed until technology is broadly distributed throughout the network ("locked-in"), significant disruption could occur when patent holders seek to collect unanticipated rents from large segments of the market.

GridWise Alliance rankings edit

In November 2017 the non-profit GridWise Alliance along with Clean Edge Inc., a clean energy group, released rankings for all 50 states in their efforts to modernize the electric grid. California was ranked number one. The other top states were Illinois, Texas, Maryland, Oregon, Arizona, the District of Columbia, New York, Nevada and Delaware. "The 30-plus page report from the GridWise Alliance, which represents stakeholders that design, build and operate the electric grid, takes a deep dive into grid modernization efforts across the country and ranks them by state."[142]

See also edit

 
End of line of T-pylons

References edit

  1. ^ Smart Grid - The New and Improved Power Grid: A Survey; IEEE Communications Surveys and Tutorials 2011; X. Fang, S. Misra, G. Xue, and D. Yang; doi:10.1109/SURV.2011.101911.00087.
  2. ^ "Federal Energy Regulatory Commission Assessment of Demand Response & Advanced Metering" (PDF).
  3. ^ Sayed, K.; Gabbar, H. A. (1 January 2017). "Chapter 18 – SCADA and smart energy grid control automation". Smart Energy Grid Engineering. Academic Press: 481–514. doi:10.1016/B978-0-12-805343-0.00018-8. ISBN 978-0128053430.
  4. ^ Hu, J.; Lanzon, A. (2019). "Distributed finite-time consensus control for heterogeneous battery energy storage systems in droop-controlled microgrids". IEEE Transactions on Smart Grid. 10 (5): 4751–4761. doi:10.1109/TSG.2018.2868112. S2CID 117469364.
  5. ^ "Federal Energy Regulatory Commission Assessment of Demand Response & Advanced Metering" (PDF). United States Federal Energy Regulatory Commission.
  6. ^ Saleh, M. S.; Althaibani, A.; Esa, Y.; Mhandi, Y.; Mohamed, A. A. (October 2015). "Impact of clustering microgrids on their stability and resilience during blackouts". 2015 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE). pp. 195–200. doi:10.1109/ICSGCE.2015.7454295. ISBN 978-1-4673-8732-3. S2CID 25664994.
  7. ^ Torriti, Jacopo (2012). "Demand Side Management for the European Supergrid: Occupancy variances of European single-person households". Energy Policy. 44: 199–206. doi:10.1016/j.enpol.2012.01.039.
  8. ^ . SmartGrids. 2011. Archived from the original on 2011-10-03. Retrieved 2011-10-11.
  9. ^ "The History of Electrification: The Birth of our Power Grid". Edison Tech Center. Retrieved November 6, 2013.
  10. ^ Mohsen Fadaee Nejad; AminMohammad Saberian; Hashim Hizam; et al. (2013). "Application of smart power grid in developing countries". 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO) (PDF). IEEE. pp. 427–431. doi:10.1109/PEOCO.2013.6564586. ISBN 978-1-4673-5074-7. S2CID 9292426.
  11. ^ a b c d e f Berger, Lars T.; Iniewski, Krzysztof, eds. (April 2012). Smart Grid - Applicacions, Communications and Security. John Wiley and Sons. ISBN 978-1-1180-0439-5.
  12. ^ Smart Grid Working Group (June 2003). (PDF). Energy Future Coalition. Archived from the original (PDF) on 2009-03-18. Retrieved 2008-11-27.
  13. ^ (PDF). Archived from the original on 14 April 2020.
  14. ^ Gesellschaft für Operations Research. Annual International Conference; Neufeld, Janis S.; Buscher, Udo; Lasch, Rainer; Möst, Dominik; Schönberger, Jörn (2020). "On the Observabilty of Smart Grids and Related Optimization Methods". Operations Research Proceedings 2019 : selected papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019. Cham, Switzerland: Springer. p. 281. ISBN 978-3-030-48439-2. OCLC 1198557067.
  15. ^ "Functionalities of smart grids and smart meters". Smart Grids Task Force. December 2010.
  16. ^ COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS Smart Grids: from innovation to deployment
  17. ^ "EUROPEAN TASK FORCE FOR THE IMPLEMENTATION OF SMART GRIDS INTO THE EUROPEAN INTERNAL MARKET: Mission and Word Programme" (PDF). CIRCABC. Retrieved 2022-07-25.
  18. ^ (PDF). Federal Energy Regulatory Commission (Report). United States Department of Energy. August 2006. p. 20. Archived from the original (PDF) on 2008-10-27. Retrieved 2008-11-27.
  19. ^ a b (PDF). National Energy Technology Laboratory (Report). United States Department of Energy Office of Electricity Delivery and Energy Reliability. August 2007. p. 17. Archived from the original (PDF) on 2012-02-23. Retrieved 2008-12-06.
  20. ^ . Pacific Northwest National Laboratory. 2007-10-30. Archived from the original on 2008-10-27. Retrieved 2008-12-03.
  21. ^ Qixun Yang; Bi Tianshu (2001-06-24). "WAMS Implementation in China and the Challenges for Bulk Power System Protection" (PDF). Panel Session: Developments in Power Generation and Transmission — Infrastructures in China, IEEE 2007 General Meeting, Tampa, FL, USA, 24–28 June 2007 Electric Power, ABB Power T&D Company, and Tennessee Valley Authority. Retrieved 2008-12-01.
  22. ^ Alexandra Von Meier (2013). Electrical Engineer 137A: Electric Power Systems. Lecture 2:Introduction to Electric Power Systems, Slide 33.
  23. ^ Yih-Fang Huang; Werner, S.; Jing Huang; Kashyap, N.; Gupta, V., "State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid," Signal Processing Magazine, IEEE, vol.29, no.5, pp.33,43, Sept. 2012
  24. ^ Ntobela, Simthandile (2019-05-07). "'Chill, Chat, Eat.' The Secret to Life Without Power". Wall Street Journal. ISSN 0099-9660. Retrieved 2019-10-09.
  25. ^ Torrejon, Rodrigo. "Power outages: What you need to know about the different types". North Jersey. Retrieved 2019-10-09.
  26. ^ Tomoiagă, B.; Chindriş, M.; Sumper, A.; Sudria-Andreu, A.; Villafafila-Robles, R. Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II. Energies 2013, 6, 1439-1455.
  27. ^ a b c N. A. Sinitsyn; S. Kundu; S. Backhaus (2013). "Safe Protocols for Generating Power Pulses with Heterogeneous Populations of Thermostatically Controlled Loads". Energy Conversion and Management. 67: 297–308. arXiv:1211.0248. doi:10.1016/j.enconman.2012.11.021. S2CID 32067734.
  28. ^ Smart Grid Environmental Benefits
  29. ^ Energy Future Coalition, "Challenge and Opportunity: Charting a New Energy Future," Appendix A: Working Group Reports, Report of the Smart Grid Working Group.
  30. ^ Zhang, Xiao; Hug, G.; Kolter, Z.; Harjunkoski, I. (2015-10-01). "Industrial demand response by steel plants with spinning reserve provision". 2015 North American Power Symposium (NAPS). pp. 1–6. doi:10.1109/NAPS.2015.7335115. ISBN 978-1-4673-7389-0. S2CID 12558667.
  31. ^ Zhang, X.; Hug, G. (2015-02-01). "Bidding strategy in energy and spinning reserve markets for aluminum smelters' demand response". 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). pp. 1–5. doi:10.1109/ISGT.2015.7131854. ISBN 978-1-4799-1785-3. S2CID 8139559.
  32. ^ "Storing Power in Molten Aluminum Lakes". Bloomberg News. 26 November 2014.
  33. ^ Why the Smart Grid Won't Have the Innovations of the Internet Any Time Soon: Cleantech News and Analysis « 2020-04-22 at the Wayback Machine. Earth2tech.com (2009-06-05). Retrieved on 2011-05-14.
  34. ^ U.S. Department of Energy, National Energy Technology Laboratory, Modern Grid Initiative, http://www.netl.doe.gov/moderngrid/opportunity/vision_technologies.html July 11, 2007, at the Wayback Machine
  35. ^ F.R. Yu, P. Zhang, W. Xiao, and P. Choudhury, "Communication Systems for Grid Integration of Renewable Energy Resources," IEEE Network, vol. 25, no. 5, pp. 22-29, Sept. 2011.
  36. ^ a b Buevich, Maxim; Zhang, Xiao; Schnitzer, Dan; Escalada, Tristan; Jacquiau-Chamski, Arthur; Thacker, Jon; Rowe, Anthony (2015-01-01). "Short Paper: Microgrid Losses". Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments. BuildSys '15. New York, NY, USA. pp. 95–98. doi:10.1145/2821650.2821676. ISBN 9781450339810. S2CID 2742485.{{cite book}}: CS1 maint: location missing publisher (link)
  37. ^ Patrick Mazza (2005-04-27). . Climate Solutions: 7. Archived from the original (doc) on 2008-12-30. Retrieved 2008-12-01. {{cite journal}}: Cite journal requires |journal= (help)
  38. ^ . arpa-e.energy.gov. Archived from the original on 2014-08-08. Retrieved 2014-07-25.
  39. ^ Klimstra, Jakob; Hotakainen, Markus (2011). Smart Power Generation (PDF). Helsinki: Avain Publishers. ISBN 9789516928466.
  40. ^ Toomas Hõbemägi, Baltic Business News
  41. ^ (PDF). Nanjing Nari-Relays Electric Co. 2008-04-22. p. 2. Archived from the original (PDF) on 2009-03-18. Retrieved 2008-12-12.[unreliable source?] Examples are given of two events, one stabilizing the system after a fault on a 1 gigawatt HVDC feed, with response timed in milliseconds.
  42. ^ Zhao, Jinquan; Huang, Wenying; Fang, Zhaoxiong; Chen, Feng; Li, Kewen; Deng, Yong (2007-06-24). "2007 IEEE Power Engineering Society General Meeting". Proceedings, Power Engineering Society General Meeting, 2007. Tampa, FL, USA: IEEE. p. 1. doi:10.1109/PES.2007.385975. ISBN 978-1-4244-1296-9. S2CID 6167525.
  43. ^ Pinkse, J; Kolk, A (2010). "Challenges and trade-offs in corporate innovation for climate change" (PDF). Business Strategy and the Environment. 19 (4): 261–272. doi:10.1002/bse.677.
  44. ^ Jacobides, Michael G.; Knudsen, Thorbjørn; Augier, Mie (October 2006). "Benefiting from innovation: Value creation, value appropriation and the role of industry architectures". Research Policy. 35 (8): 1200–1221. doi:10.1016/j.respol.2006.09.005.
  45. ^ Digitalization & Energy. Paris: International Electricity Agency. 2017. doi:10.1787/9789264286276-en. ISBN 9789264286276.
  46. ^ Chowdhury, S; Crowdhury, S.P.; Crossley, P. Microgrids and active distribution networks. Institution of Engineering and Technology. ISBN 9781849191029.
  47. ^ Bifaretti, S.; Cordiner, S.; Mulone, V.; Rocco, V.; Rossi, J.L.; Spagnolo, F. (May 2017). "Grid-connected Microgrids to Support Renewable Energy Sources Penetration". Energy Procedia. 105: 2910–2915. doi:10.1016/j.egypro.2017.03.658.
  48. ^ a b "Customer engagement in an era of energy transformation" (PDF). www.pwc.nl. PwC. Retrieved 8 October 2018.
  49. ^ Ross, J.W.; Sebastian, I. M.; Beath, C.M. (2017). (PDF). MITSloan Management Review. 58 (2). Archived from the original (PDF) on 2018-09-20. Retrieved 2018-10-08.
  50. ^ Samuelson, K. "How Do You Attract Next-Generation Utility Customers? | E Source". www.esource.com. Retrieved 8 October 2018.
  51. ^ John, J.S. (2017-06-29). "The Case for Utilities to Bundle Their Energy Businesses—Before They're Cannibalized". /www.greentechmedia.com. Retrieved 8 October 2018.
  52. ^ Kling, W.L.; Ummels, B.C.; Hendriks, R.L. (June 2007). "Transmission and System Integration of Wind Power in the Netherlands". 2007 IEEE Power Engineering Society General Meeting. pp. 1–6. doi:10.1109/PES.2007.385926. ISBN 978-1-4244-1296-9. S2CID 23659172. Retrieved 8 October 2018.
  53. ^ Nieponice, G (28 March 2017). "5 things utilities companies must do to future-proof themselves". World Economic Forum. Retrieved 8 October 2018.
  54. ^ Juszczyk, Oskar; Juszczyk, Juliusz; Juszczyk, Sławomir; Takala, Josu (January 2022). "Barriers for Renewable Energy Technologies Diffusion: Empirical Evidence from Finland and Poland". Energies. 15 (2): 527. doi:10.3390/en15020527. ISSN 1996-1073.
  55. ^ Brown, J.P.; Coupal, R; Hitaj, C; Kelsey, T.W.; Krannich, R.S.; Xiarchos, I.M. (PDF). www.usda.gov. United States Department of Agriculture. Archived from the original (PDF) on October 8, 2018. Retrieved 8 October 2018.
  56. ^ Electric Power Research Institute, IntelliGrid Program
  57. ^ U.S. Department of Energy, Office of Electric Transmission and Distribution, "Grid 2030" A National Vision for Electricity's Second 100 Years 2011-07-21 at the Wayback Machine, July 2003
  58. ^ U.S. Department of Energy, Office of Electric Transmission and Distribution, "National Electric Delivery Technologies Roadmap" 2011-07-21 at the Wayback Machine
  59. ^ U.S. Department of Energy, National Energy Technology Laboratory 2010-01-09 at the Wayback Machine
  60. ^ U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability 2006-02-03 at the Wayback Machine; GridWise Program fact sheet 2008-09-10 at the Wayback Machine; and GridWise Alliance.
  61. ^ http://www.gridwiseac.org/pdfs/interopframework_v1_1.pdf[bare URL PDF]
  62. ^ U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability,
  63. ^ Pacific Northwest Smart Grid Demonstration Project
  64. ^ Australia Department of the Environment Solar Cities Programme
  65. ^ Smart Grid Energy Research Center[circular reference]
  66. ^ "SmartQuart". SmartQuart (in German). Retrieved 2021-02-08.
  67. ^ Paul Bourgine; David Chavalarias; Edith Perrier; Frederic Amblard; Francois Arlabosse; Pierre Auger; Jean-Bernard Baillon; Olivier Barreteau; Pierre Baudot (2009). "French Roadmap for complex Systems 2008–2009". arXiv:0907.2221 [nlin.AO].
  68. ^ Spahiu, Pelqim; Evans, Ian R. (2011). "Protection Systems that verify and supervise themselves". 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies. pp. 1–4. doi:10.1109/ISGTEurope.2011.6162614. ISBN 978-1-4577-1421-4. S2CID 21647584.
  69. ^ Spahiu, P.; Uppal, N. (2010). "IED based protection & control equipment with non-standard primary system arrangements - an approach to application". 10th IET International Conference on Developments in Power System Protection (DPSP 2010). Managing the Change. p. 141. doi:10.1049/cp.2010.0263. ISBN 978-1-84919-212-5.
  70. ^ a b Giovanni Filatrella; Arne Hejde Nielsen; Niels Falsig Pedersen (2008). "Analysis of a power grid using the Kuramoto-like model". European Physical Journal B. 61 (4): 485–491. arXiv:0705.1305. Bibcode:2008EPJB...61..485F. doi:10.1140/epjb/e2008-00098-8. S2CID 18383765.
  71. ^ Florian Dorfler; Francesco Bullo (2009). "Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators". arXiv:0910.5673 [math.OC].
  72. ^ Montazerolghaem, A.; Yaghmaee, M. H.; Leon-Garcia, A. (2017). "OpenAMI: Software-Defined AMI Load Balancing". IEEE Internet of Things Journal. PP (99): 206–218. doi:10.1109/jiot.2017.2778006. S2CID 46747824.
  73. ^ Montazerolghaem, Ahmadreza; Yaghmaee, Mohammad Hossein (2021). "Demand Response Application as a Service: An SDN-based Management Framework". IEEE Transactions on Smart Grid. 13 (3): 1952–1966. doi:10.1109/TSG.2021.3139004. ISSN 1949-3053. S2CID 245557930.
  74. ^ Werbos (2006). "Using Adaptive Dynamic Programming to Understand and Replicate Brain Intelligence: the Next Level Design". arXiv:q-bio/0612045.
  75. ^ Claire Christensen; Reka Albert (2006). "Using graph concepts to understand the organization of complex systems". International Journal of Bifurcation and Chaos. 17 (7): 2201–2214. arXiv:q-bio/0609036. Bibcode:2007IJBC...17.2201C. doi:10.1142/S021812740701835X. S2CID 9741805.
  76. ^ Vito Latora; Massimo Marchiori (2002). "Economic Small-World Behavior in Weighted Networks". European Physical Journal B. 32 (2): 249–263. arXiv:cond-mat/0204089. Bibcode:2003EPJB...32..249L. doi:10.1140/epjb/e2003-00095-5. S2CID 15430987.
  77. ^ Vito Latora; Massimo Marchiori (2002). "The Architecture of Complex Systems". arXiv:cond-mat/0205649.
  78. ^ Balantrapu, Satish (November 2, 2010). . Energy Central. Archived from the original on 10 December 2015. Retrieved 8 December 2015.
  79. ^ Miao He; Sugumar Murugesan; Junshan Zhang (2011). "Multiple timescale dispatch and scheduling for stochastic reliability in smart grids with wind generation integration". 2011 Proceedings IEEE INFOCOM. pp. 461–465. arXiv:1008.3932. Bibcode:2010arXiv1008.3932H. doi:10.1109/INFCOM.2011.5935204. ISBN 978-1-4244-9919-9. S2CID 16846822.
  80. ^ . Zpryme Smart Grid Market. Archived from the original on 2014-09-06. Retrieved 2009-12-22.
  81. ^ "U.S. smart grid to cost billions, save trillions". Reuters. 2011-05-24.
  82. ^ . 2015-01-23. Archived from the original on 2016-03-04. Retrieved 2015-01-24.
  83. ^ "2018-2023 Smart Grid Network Market Current Scenario - Major Applications, Product Type, Key Players & Regions". 2019-03-19.
  84. ^ Patrick Mazza (2004-05-21). "The Smart Energy Network: Electricity's Third Great Revolution" (PDF). Climate Solutions. p. 2. Retrieved 2008-12-05.
  85. ^ L. D. Kannberg; M. C. Kintner-Meyer; D. P. Chassin; R. G. Pratt; J. G. DeSteese; L. A. Schienbein; S. G. Hauser; W. M. Warwick (November 2003). "GridWise: The Benefits of a Transformed Energy System". p. 25. arXiv:nlin/0409035.
  86. ^ "Smart Grid and Renewable Energy Monitoring Systems", SpeakSolar.org, 3 September 2010
  87. ^ a b Campbell, Richard (10 June 2015). (PDF). Congressional Research Service. Archived from the original (PDF) on 2015-06-28. Retrieved 17 October 2017.
  88. ^ Demertzis K., Iliadis L. (2018) A Computational Intelligence System Identifying Cyber-Attacks on Smart Energy Grids. In: Daras N., Rassias T. (eds) Modern Discrete Mathematics and Analysis. Springer Optimization and Its Applications, vol 131. Springer, Cham
  89. ^ a b c (PDF). U.S. House of Representatives. 8 April 2016. Archived from the original (PDF) on September 7, 2016. Retrieved 17 October 2017.
  90. ^ a b c d Siddharth, Sridhar (January 2012). "Cyber-Physical System Security for the Electric Power Grid". Proceedings of the IEEE. 100: 210–224. doi:10.1109/JPROC.2011.2165269. S2CID 2141030.
  91. ^ . Renewing America. Council on Foreign Relations. 16 December 2011. Archived from the original on 4 January 2012. Retrieved 20 January 2012.
  92. ^ Gorman, Siobahn (6 April 2008). "Electricity Grid in U.S. Penetrated by Spies". Wall Street Journal. Retrieved 20 January 2012.
  93. ^ Qin, Y., Cao, X., Liang, P.: Hu, Q.: Zhang, W.: Research on the analytic factor neuron model based on cloud generator and its application in oil&gas SCADA security defense. In: 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) (2014). https://doi.org/10.1109/CCIS.2014.7175721
  94. ^ a b "Sector Resilience Report: Electric Power Delivery" (PDF). 11 June 2014. Retrieved 17 October 2017.
  95. ^ "Analysis of the Cyber Attack on the Ukrainian Power Grid" (PDF). 18 March 2016. Retrieved 17 October 2017.
  96. ^ a b c d Knake, Robert. "A Cyberattack on the U.S. Power Grid". Council on Foreign Relations. Retrieved 2017-10-22.
  97. ^ "'Crash Override': The Malware That Took Down a Power Grid". WIRED. Retrieved 2017-10-19.
  98. ^ "New Lloyd's study highlights wide ranging implications of cyber attacks". www.lloyds.com. 8 July 2015. Retrieved 2017-10-22.[permanent dead link]
  99. ^ a b "Transforming the Nation's Electricity System: The Second Installment of the Quadrennial Energy Review" (PDF). January 2017. Retrieved 25 September 2017.
  100. ^ a b c d Khurana, Himanshu. Frincke, Deborah. Liu, Ning. Hadley, Mark. https://www.researchgate.net/profile/Ning_Lu4/publication/224110557_Smart-Grid_Security_Issues/links/0f31752dab2b75c231000000.pdf . Web. Accessed on April 8th, 2017.
  101. ^ Nunez, Christina (14 December 2012). "Who's Watching? Privacy Concerns Persist as Smart Meters Roll Out 2018-03-16 at the Wayback Machine". National Geographic. nationalgeographic.com. Retrieved 16 March 2018.
  102. ^ Fernando Alvarado; Shmuel Oren (May 2002). "Transmission System Operation and Interconnection" (PDF). National Transmission Grid Study: 25. Retrieved 2008-12-01.
  103. ^ Rolf Carlson (April 2002). "Sandia SCADA Program High-Security SCADA LDRD Final Report" (PDF). National Transmission Grid Study: 15. Retrieved 2008-12-06.
  104. ^ Khurana, H.; Hadley, M.; Ning Lu; Frincke, D. A. (January 2010). "Smart-grid security issues". IEEE Security & Privacy Magazine. 8 (1): 81–85. doi:10.1109/MSP.2010.49. S2CID 1218073.
  105. ^ James Grundvig (2013-04-15). "Detecting Power Theft by Sensors and the Cloud: Awesense Smart System for the Grid". Huffington Post: 2. Retrieved 2013-06-05.
  106. ^ . Archived from the original on 19 December 2015. Retrieved 23 December 2007.
  107. ^ DOE Provides up to $51.8 Million to Modernize the U.S. Electric Grid System 20 September 2008 at the Wayback Machine, 27 June 2007, U.S. Department of Energy (DOE)
  108. ^ "Building for the future: Interview with Andres Carvallo, CIO — Austin Energy Utility". Next Generation Power and Energy (244). Retrieved 2008-11-26.
  109. ^ Betsy Loeff (March 2008). "AMI Anatomy: Core Technologies in Advanced Metering". Ultrimetrics Newsletter.
  110. ^ Betsy Loeff, Demanding standards: Hydro One aims to leverage AMI via interoperability 2016-01-21 at the Wayback Machine, PennWell Corporation
  111. ^ Joel Spaes (July 3, 2020). "Harmon'Yeu, première communauté énergétique à l'Île d'Yeu, signée Engie". www.pv-magazine.fr. Retrieved January 27, 2021.
  112. ^ Nabil Wakim (December 16, 2020). "A L'Ile-d'Yeu, soleil pour tous... ou presque". www.lemonde.fr. Retrieved January 27, 2021.
  113. ^ . MVV Energie. 2011. Archived from the original on March 24, 2012. Retrieved May 16, 2011.
  114. ^ . Archived from the original on 2014-09-24. Retrieved 2014-09-29.
  115. ^ . Archived from the original on 2011-04-24. Retrieved 2011-06-17.
  116. ^ Portuguese Smart City
  117. ^ E-Energy: Startseite. E-energy.de. Retrieved on 2011-05-14.
  118. ^ a b c d e Massachusetts rejects utility's prepayment plan for low income customers, The Boston Globe, 2009-07-23
  119. ^ . Archived from the original on 2014-10-23. Retrieved 2014-10-17.
  120. ^ Smart Energy Collective 2018-08-09 at the Wayback Machine. Smartenergycollective.nl. Retrieved on 2011-05-14.
  121. ^ "Our History | EPB". epb.com. Retrieved 2019-03-29.
  122. ^ "EPB (Smart Grid Project)". www.smartgrid.gov. Retrieved 2019-03-29.
  123. ^ . www.smartgrid.gov. Archived from the original on 2019-03-29. Retrieved 2019-03-29.
  124. ^ "Smart Grid | EPB". epb.com. Retrieved 2019-03-29.
  125. ^ Enbysk, Liz (April 20, 2011). . SmartGridNews. Archived from the original on November 3, 2011. Retrieved December 1, 2011.
  126. ^ John, Jeff (February 28, 2011). . Giga Om. Archived from the original on October 26, 2012. Retrieved December 1, 2011.
  127. ^ Li, Jerry (2009), From Strong to Smart: the Chinese Smart Grid and its relation with the Globe, AEPN, Article No. 0018602. Available at Researchgate or the author's personal page
  128. ^ "Honeywell and Southern California Edison Team up to Curb Electricity Demand". The Wall Street Journal. March 27, 2007.
  129. ^ John, Jeff (November 17, 2009). "Honeywell's OpenADR Plans for SoCal Edison". Greentechgrid. Retrieved January 25, 2012.
  130. ^ Richman, Gerald (February 23, 2010). . New America Foundation. Archived from the original on June 12, 2010. Retrieved November 29, 2011.
  131. ^ John, Jeff (February 2, 2012). "Balancing Hawaiian Wind Power with Demand Response". GreenTechMedia. Retrieved March 7, 2012.
  132. ^ IEEE Standards Association. . IEEE Smart Grid. Archived from the original on 2012-04-23. Retrieved 2013-01-28.
  133. ^ John, Jeff (February 28, 2011). . GigaOm. Archived from the original on October 26, 2012. Retrieved April 16, 2012.
  134. ^ . ieeexplore.ieee.org. Archived from the original on 27 December 2008. Retrieved 12 January 2022.
  135. ^ Cisco Outlines Strategy for Highly Secure, 'Smart Grid' Infrastructure -> Cisco News 2015-01-28 at the Wayback Machine. Newsroom.cisco.com (2009-05-18). Retrieved on 2011-05-14.
  136. ^ . Blog.ds2.es (2009-05-20). Retrieved on 2011-05-14.
  137. ^ IEEE P2030 Official Website
  138. ^ IEEE, conference drive smart grids. Eetimes.com (2009-03-19). Retrieved on 2011-05-14.
  139. ^ Commerce Secretary Unveils Plan for Smart Grid Interoperability. Nist.gov. Retrieved on 2011-05-14.
  140. ^ . Archived from the original on 2015-02-24. Retrieved 2009-11-09.
  141. ^ Jorge L. Contreras, "Gridlock or Greased Lightning: Intellectual Property, Government Involvement and the Smart Grid" (presented at American Intellectual Property Law Assn. (AIPLA) 2011 Annual Meeting (Oct. 2011, Washington D.C.))
  142. ^ Sowers, Scott (2017-11-17). "California still reigns in grid modernization efforts". Daily Energy Insider. Retrieved 2017-12-05.

Bibliography edit

  • Hans Glavitsch (November 1974). "Computer Control of Electric-Power Systems". Scientific American. Vol. 231, no. 5.
  • Christian Neureiter, A Domain-Specific, Model Driven Engineering Approach For Systems Engineering In The Smart Grid 2018-01-22 at the Wayback Machine, MBSE4U, 2017, ISBN 978-3981852929

External links edit

  • Smart Grids (European Commission)
  • Smart Microgrids by Project Regeneration
  • The NIST Smart Grid Collaboration Site 2015-02-24 at the Wayback Machine NIST's public wiki for Smart Grid
  • Emerging Smart Multi-Use Grids Multiple use scalable wireless network of networks
  • Video Lecture: Computer System Security: Technical and Social Challenges in Creating a Trustworthy Power Grid 2011-10-06 at the Wayback Machine, University of Illinois at Urbana-Champaign
  • Wiley: Smart Grid Applications, Communications, and Security
  • Video Lecture: Smart Grid: Key to a Sustainable Energy Infrastructure 2011-09-14 at the Wayback Machine, University of Illinois at Urbana-Champaign
  • Smart High Voltage Substation Based on IEC 61850 Process Bus and IEEE 1588 Time Synchronization
  • Energy To Smart Grid (E2SG), one of the major European Smart Grid research projects
  • Smart Grid: Communication-Enabled Intelligence for the Electric Power Grid
  • LIFE Factory Microgrid 2018-10-22 at the Wayback Machine: Smart Grid project funded by the European Commission
  • Smart Hubs SLES : Smart Grid project part-funded by UK Research and Innovation

smart, grid, smart, grid, enhancement, 20th, century, electrical, grid, using, communications, distributed, called, intelligent, devices, flows, electricity, information, could, improve, delivery, network, research, mainly, focused, three, systems, smart, grid. The smart grid is an enhancement of the 20th century electrical grid using two way communications and distributed so called intelligent devices Two way flows of electricity and information could improve the delivery network Research is mainly focused on three systems of a smart grid the infrastructure system the management system and the protection system 1 Electronic power conditioning and control of the production and distribution of electricity are important aspects of the smart grid 2 Characteristics of a traditional system left versus the smart grid right The smart grid represents the full suite of current and proposed responses to the challenges of electricity supply Numerous contributions to the overall improvement of the efficiency of energy infrastructure are anticipated from the deployment of smart grid technology in particular including demand side management The improved flexibility of the smart grid permits greater penetration of highly variable renewable energy sources such as solar power and wind power even without the addition of energy storage Smart grids could also monitor control residential devices that are noncritical during periods of peak power consumption and return their function during nonpeak hours 3 A smart grid includes a variety of operation and energy measures Advanced metering infrastructure of which smart meters are a generic name for any utility side device even if it is more capable e g a fiber optic router Smart distribution boards and circuit breakers integrated with home control and demand response behind the meter from a utility perspective Load control switches and smart appliances often financed by efficiency gains on municipal programs e g PACE financing Renewable energy resources including the capacity to charge parked electric vehicle batteries or larger arrays of batteries recycled from these or other energy storage 4 Energy efficient resources Electric surplus distribution by power lines and auto smart switch Sufficient utility grade fiber broadband to connect and monitor the above with wireless as a backup Sufficient spare if dark capacity to ensure failover often leased for revenue 5 6 Concerns with smart grid technology mostly focus on smart meters items enabled by them and general security issues Roll out of smart grid technology also implies a fundamental re engineering of the electricity services industry although typical usage of the term is focused on the technical infrastructure 7 Smart grid policy is organized in Europe as Smart Grid European Technology Platform 8 Policy in the United States is described in 42 U S C ch 152 subch IX 17381 Contents 1 Background 1 1 Historical development of the electricity grid 1 2 Modernization opportunities 1 3 Definition of smart grid 1 3 1 United States 1 3 2 European Union 1 4 Early technological innovations 2 Features 2 1 Reliability 2 2 Flexibility in network topology 2 3 Efficiency 2 3 1 Load adjustment Load balancing 2 3 2 Peak curtailment leveling and time of use pricing 2 4 Sustainability 2 5 Market enabling 2 5 1 Demand response support 3 Technology 3 1 IT companies disrupting the energy market 3 1 1 Consequences 3 1 2 Focus on a customer engagement strategy 3 1 3 Create alliances with new entered technology companies 3 1 4 Renewable energy sources 3 1 5 Combined cycle hydrogen power plant 4 Research 4 1 Major programs 4 2 Smart grid modelling 5 Economics 5 1 Market outlook 5 2 General economics developments 5 2 1 US and UK savings estimates and concerns 6 Oppositions and concerns 6 1 Security 7 Other challenges to adoption 7 1 Power Theft Power Loss 8 Deployments and attempted deployments 8 1 Enel 8 2 US Dept of Energy ARRA Smart Grid Project 8 3 Austin Texas 8 4 Boulder Colorado 8 5 Hydro One 8 6 Ile d Yeu 8 7 Mannheim 8 8 Sydney 8 9 Evora 8 10 E Energy 8 11 Massachusetts 8 12 eEnergy Vermont consortium 8 13 Netherlands 8 14 Chattanooga 8 15 OpenADR Implementations 8 15 1 China 8 15 2 United States 9 Guidelines standards and user groups 10 GridWise Alliance rankings 11 See also 12 References 13 Bibliography 14 External linksBackground editHistorical development of the electricity grid edit The first alternating current power grid system was installed in 1886 in Great Barrington Massachusetts 9 At that time the grid was a centralized unidirectional system of electric power transmission electricity distribution and demand driven control In the 20th century local grids grew over time and were eventually interconnected for economic and reliability reasons By the 1960s the electric grids of developed countries had become very large mature and highly interconnected with thousands of central generation power stations delivering power to major load centres via high capacity power lines which were then branched and divided to provide power to smaller industrial and domestic users over the entire supply area The topology of the 1960s grid was a result of the strong economies of scale large coal gas and oil fired power stations in the 1 GW 1000 MW to 3 GW scale are still found to be cost effective due to efficiency boosting features that can be cost effective only when the stations become very large Power stations were located strategically to be close to fossil fuel reserves either the mines or wells themselves or else close to rail road or port supply lines Siting of hydroelectric dams in mountain areas also strongly influenced the structure of the emerging grid Nuclear power plants were sited for the availability of cooling water Finally fossil fuel fired power stations were initially very polluting and were sited as far as economically possible from population centres once electricity distribution networks permitted it By the late 1960s the electricity grid reached the overwhelming majority of the population of developed countries with only outlying regional areas remaining off grid Metering of electricity consumption was necessary on a per user basis in order to allow appropriate billing according to the highly variable level of consumption of different users Because of limited data collection and processing capability during the period of growth of the grid fixed tariff arrangements were commonly put in place as well as dual tariff arrangements where night time power was charged at a lower rate than daytime power The motivation for dual tariff arrangements was the lower night time demand Dual tariffs made possible the use of low cost night time electrical power in applications such as the maintaining of heat banks which served to smooth out the daily demand and reduce the number of turbines that needed to be turned off overnight thereby improving the utilisation and profitability of the generation and transmission facilities The metering capabilities of the 1960s grid meant technological limitations on the degree to which price signals could be propagated through the system From the 1970s to the 1990s growing demand led to increasing numbers of power stations In some areas the supply of electricity especially at peak times could not keep up with this demand resulting in poor power quality including blackouts power cuts and brownouts Increasingly electricity was depended on for industry heating communication lighting and entertainment and consumers demanded ever higher levels of reliability Towards the end of the 20th century electricity demand patterns were established domestic heating and air conditioning led to daily peaks in demand that were met by an array of peaking power generators that would only be turned on for short periods each day The relatively low utilisation of these peaking generators commonly gas turbines were used due to their relatively lower capital cost and faster start up times together with the necessary redundancy in the electricity grid resulting in high costs to the electricity companies which were passed on in the form of increased tariffs In the 21st century some developing countries like China India and Brazil were seen as pioneers of smart grid deployment 10 Modernization opportunities edit Since the early 21st century opportunities to take advantage of improvements in electronic communication technology to resolve the limitations and costs of the electrical grid have become apparent Technological limitations on metering no longer force peak power prices to be averaged out and passed on to all consumers equally In parallel growing concerns over environmental damage from fossil fired power stations have led to a desire to use large amounts of renewable energy Dominant forms such as wind power and solar power are highly variable and so the need for more sophisticated control systems became apparent to facilitate the connection of sources to the otherwise highly controllable grid 11 Power from photovoltaic cells and to lesser extent wind turbines has also significantly called into question the imperative for large centralised power stations The rapidly falling costs point to a major change from the centralised grid topology to one that is highly distributed with power being both generated and consumed right at the limits of the grid Finally growing concern over terrorist attacks in some countries has led to calls for a more robust energy grid that is less dependent on centralised power stations that were perceived to be potential attack targets 12 Definition of smart grid edit source source source source source source track Video about smart gridsUnited States editThe first official definition of Smart Grid was provided by the Energy Independence and Security Act of 2007 EISA 2007 which was approved by the US Congress in January 2007 and signed to law by President George W Bush in December 2007 Title XIII of this bill provides a description with ten characteristics that can be considered a definition for Smart Grid as follows It is the policy of the United States to support the modernization of the Nation s electricity transmission and distribution system to maintain a reliable and secure electricity infrastructure that can meet future demand growth and to achieve each of the following which together characterize a Smart Grid 1 Increased use of digital information and controls technology to improve reliability security and efficiency of the electric grid 2 Dynamic optimization of grid operations and resources with full cyber security 3 Deployment and integration of distributed resources and generation including renewable resources 4 Development and incorporation of demand response demand side resources and energy efficiency resources 5 Deployment of smart technologies real time automated interactive technologies that optimize the physical operation of appliances and consumer devices for metering communications concerning grid operations and status and distribution automation 6 Integration of smart appliances and consumer devices 7 Deployment and integration of advanced electricity storage and peak shaving technologies including plug in electric and hybrid electric vehicles and thermal storage air conditioning 8 Provision to consumers of timely information and control options 9 Development of standards for communication and interoperability of appliances and equipment connected to the electric grid including the infrastructure serving the grid 10 Identification and lowering of unreasonable or unnecessary barriers to adoption of smart grid technologies practices and services European Union edit The European Union Commission Task Force for Smart Grids also provides smart grid definition 13 14 15 as A Smart Grid is an electricity network that can cost efficiently integrate the behaviour and actions of all users connected to it generators consumers and those that do both in order to ensure economically efficient sustainable power system with low losses and high levels of quality and security of supply and safety A smart grid employs innovative products and services together with intelligent monitoring control communication and self healing technologies in order to Better facilitate the connection and operation of generators of all sizes and technologies Allow consumers to play a part in optimising the operation of the system Provide consumers with greater information and options for how they use their supply Significantly reduce the environmental impact of the whole electricity supply system Maintain or even improve the existing high levels of system reliability quality and security of supply Maintain and improve the existing services efficiently That definition was used in the European Commission Communication 2011 202 16 A common element to most definitions is the application of digital processing and communications to the power grid making data flow and information management central to the smart grid Various capabilities result from the deeply integrated use of digital technology with power grids Integration of the new grid information is one of the key issues in the design of smart grids Electric utilities now find themselves making three classes of transformations improvement of infrastructure called the strong grid in China addition of the digital layer which is the essence of the smart grid and business process transformation necessary to capitalize on the investments in smart technology Much of the work that has been going on in electric grid modernization especially substation and distribution automation is now included in the general concept of the smart grid 17 Early technological innovations edit Smart grid technologies emerged from earlier attempts at using electronic control metering and monitoring In the 1980s automatic meter reading was used for monitoring loads from large customers and evolved into the Advanced Metering Infrastructure of the 1990s whose meters could store how electricity was used at different times of the day 18 Smart meters add continuous communications so that monitoring can be done in real time and can be used as a gateway to demand response aware devices and smart sockets in the home Early forms of such demand side management technologies were dynamic demand aware devices that passively sensed the load on the grid by monitoring changes in the power supply frequency Devices such as industrial and domestic air conditioners refrigerators and heaters adjusted their duty cycle to avoid activation during times the grid was suffering a peak condition Beginning in 2000 Italy s Telegestore Project was the first to network large numbers 27 million of homes using smart meters connected via low bandwidth power line communication 19 Some experiments used the term broadband over power lines BPL while others used wireless technologies such as mesh networking promoted for more reliable connections to disparate devices in the home as well as supporting metering of other utilities such as gas and water 11 Monitoring and synchronization of wide area networks were revolutionized in the early 1990s when the Bonneville Power Administration expanded its smart grid research with prototype sensors that are capable of very rapid analysis of anomalies in electricity quality over very large geographic areas The culmination of this work was the first operational Wide Area Measurement System WAMS in 2000 20 Other countries are rapidly integrating this technology China started having a comprehensive national WAMS when the past 5 year economic plan was completed in 2012 21 The earliest deployments of smart grids include the Italian system Telegestore 2005 the mesh network of Austin Texas since 2003 and the smart grid in Boulder Colorado 2008 See Deployments and attempted deployments below Features editA smart grid would allow the power industry to observe and control parts of the system at higher resolution in time and space 22 One of the purposes of the smart grid is real time information exchange to make operation as efficient as possible It would allow management of the grid on all time scales from high frequency switching devices on a microsecond scale to wind and solar output variations on a minute scale to the future effects of the carbon emissions generated by power production on a decade scale The smart grid represents the full suite of current and proposed responses to the challenges of electricity supply Because of the diverse range of factors there are numerous competing taxonomies and no agreement on a universal definition Nevertheless one possible categorization is given here Reliability edit The smart grid makes use of technologies such as state estimation 23 that improve fault detection and allow self healing of the network without the intervention of technicians This will ensure a more reliable supply of electricity and reduce vulnerability to natural disasters or attacks Although multiple routes are touted as a feature of the smart grid the old grid also featured multiple routes Initial power lines in the grid were built using a radial model later connectivity was guaranteed via multiple routes referred to as a network structure However this created a new problem if the current flow or related effects across the network exceed the limits of any particular network element it could fail and the current would be shunted to other network elements which eventually may fail also causing a domino effect See power outage A technique to prevent this is load shedding by rolling blackout or voltage reduction brownout 24 25 Flexibility in network topology edit Next generation transmission and distribution infrastructure will be better able to handle possible bidirectional energy flows allowing for distributed generation such as from photovoltaic panels on building roofs but also charging to from the batteries of electric cars wind turbines pumped hydroelectric power the use of fuel cells and other sources Classic grids were designed for a one way flow of electricity but if a local sub network generates more power than it is consuming the reverse flow can raise safety and reliability issues 26 A smart grid aims to manage these situations 11 Efficiency edit Numerous contributions to the overall improvement of the efficiency of energy infrastructure are anticipated from the deployment of smart grid technology in particular including demand side management for example turning off air conditioners during short term spikes in electricity price reducing the voltage when possible on distribution lines Archived 2013 06 27 at the Wayback Machine through Voltage VAR Optimization VVO eliminating truck rolls for meter reading and reducing truck rolls by improved outage management using data from Advanced Metering Infrastructure systems The overall effect is less redundancy in transmission and distribution lines and greater utilization of generators leading to lower power prices citation needed Load adjustment Load balancing edit The total load connected to the power grid can vary significantly over time Although the total load is the sum of many individual choices of the clients the overall load is not necessarily stable or slow varying For example if a popular television program starts millions of televisions will start to draw current instantly Traditionally to respond to a rapid increase in power consumption faster than the start up time of a large generator some spare generators are put on a dissipative standby mode citation needed A smart grid may warn all individual television sets or another larger customer to reduce the load temporarily 27 to allow time to start up a larger generator or continuously in the case of limited resources Using mathematical prediction algorithms it is possible to predict how many standby generators need to be used to reach a certain failure rate In the traditional grid the failure rate can only be reduced at the cost of more standby generators In a smart grid the load reduction by even a small portion of the clients may eliminate the problem Peak curtailment leveling and time of use pricing edit See also Tod meter and demand response nbsp Peak load avoidance by smart charging of electric vehiclesTo reduce demand during the high cost peak usage periods communications and metering technologies inform smart devices in the home and business when energy demand is high and track how much electricity is used and when it is used It also gives utility companies the ability to reduce consumption by communicating to devices directly in order to prevent system overloads Examples would be a utility reducing the usage of a group of electric vehicle charging stations or shifting temperature set points of air conditioners in a city 27 To motivate them to cut back use and perform what is called peak curtailment or peak leveling prices of electricity are increased during high demand periods and decreased during low demand periods 11 It is thought that consumers and businesses will tend to consume less during high demand periods if it is possible for consumers and consumer devices to be aware of the high price premium for using electricity at peak periods This could mean making trade offs such as cycling on off air conditioners or running dishwashers at 9 pm instead of 5 pm When businesses and consumers see a direct economic benefit of using energy at off peak times the theory is that they will include the energy cost of operation into their consumer device and building construction decisions and hence become more energy efficient Sustainability edit The improved flexibility of the smart grid permits greater penetration of highly variable renewable energy sources such as solar power and wind power even without the addition of energy storage Current network infrastructure is not built to allow for many distributed feed in points and typically even if some feed in is allowed at the local distribution level the transmission level infrastructure cannot accommodate it Rapid fluctuations in distributed generation such as due to cloudy or gusty weather present significant challenges to power engineers who need to ensure stable power levels through varying the output of the more controllable generators such as gas turbines and hydroelectric generators Smart grid technology is a necessary condition for very large amounts of renewable electricity on the grid for this reason There is also support for vehicle to grid 28 Market enabling edit The smart grid allows for systematic communication between suppliers their energy price and consumers their willingness to pay and permits both the suppliers and the consumers to be more flexible and sophisticated in their operational strategies Only the critical loads will need to pay the peak energy prices and consumers will be able to be more strategic in when they use energy Generators with greater flexibility will be able to sell energy strategically for maximum profit whereas inflexible generators such as base load steam turbines and wind turbines will receive a varying tariff based on the level of demand and the status of the other generators currently operating The overall effect is a signal that awards energy efficiency and energy consumption that is sensitive to the time varying limitations of the supply At the domestic level appliances with a degree of energy storage or thermal mass such as refrigerators heat banks and heat pumps will be well placed to play the market and seek to minimise energy cost by adapting demand to the lower cost energy support periods This is an extension of the dual tariff energy pricing mentioned above Demand response support edit Demand response support allows generators and loads to interact in an automated fashion in real time coordinating demand to flatten spikes Eliminating the fraction of demand that occurs in these spikes eliminates the cost of adding reserve generators cuts wear and tear and extends the life of equipment and allows users to cut their energy bills by telling low priority devices to use energy only when it is cheapest 29 Currently power grid systems have varying degrees of communication within control systems for their high value assets such as in generating plants transmission lines substations and major energy users In general information flows one way from the users and the loads they control back to the utilities The utilities attempt to meet the demand and succeed or fail to varying degrees brownouts rolling blackout uncontrolled blackout The total amount of power demanded by the users can have a very wide probability distribution which requires spare generating plants in standby mode to respond to the rapidly changing power usage This one way flow of information is expensive the last 10 of generating capacity may be required as little as 1 of the time and brownouts and outages can be costly to consumers Demand response can be provided by commercial residential loads and industrial loads 30 For example Alcoa s Warrick Operation is participating in MISO as a qualified Demand Response Resource 31 and the Trimet Aluminium uses its smelter as a short term mega battery 32 Latency of the data flow is a major concern with some early smart meter architectures allowing actually as long as 24 hours delay in receiving the data preventing any possible reaction by either supplying or demanding devices 33 Technology editSee also Grid energy storage Battery storage power station and Tesla Megapack The bulk of smart grid technologies are already used in other applications such as manufacturing and telecommunications and are being adapted for use in grid operations 34 Integrated communications Areas for improvement include substation automation demand response distribution automation supervisory control and data acquisition SCADA energy management systems wireless mesh networks and other technologies power line carrier communications and fiber optics 11 Integrated communications will allow for real time control information and data exchange to optimize system reliability asset utilization and security 35 Sensing and measurement core duties are evaluating congestion and grid stability monitoring equipment health energy theft prevention 36 and control strategies support Technologies include advanced microprocessor meters smart meter and meter reading equipment wide area monitoring systems typically based on online readings by Distributed temperature sensing combined with Real time thermal rating RTTR systems electromagnetic signature measurement analysis time of use and real time pricing tools advanced switches and cables backscatter radio technology and Digital protective relays Smart meters Phasor measurement units Many in the power systems engineering community believe that the Northeast blackout of 2003 could have been contained to a much smaller area if a wide area phasor measurement network had been in place 37 Distributed power flow control power flow control devices clamp onto existing transmission lines to control the flow of power within Transmission lines enabled with such devices support greater use of renewable energy by providing more consistent real time control over how that energy is routed within the grid This technology enables the grid to more effectively store intermittent energy from renewables for later use 38 Smart power generation using advanced components smart power generation is a concept of matching electricity generation with demand using multiple identical generators which can start stop and operate efficiently at chosen load independently of the others making them suitable for baseload and peaking power generation 39 Matching supply and demand called load balancing 27 is essential for a stable and reliable supply of electricity Short term deviations in the balance lead to frequency variations and a prolonged mismatch results in blackouts Operators of power transmission systems a charged with the balancing task matching the power output of all the generators to the load of their electrical grid The load balancing task has become much more challenging as increasingly intermittent and variable generators such as wind turbines and solar cells are added to the grid forcing other producers to adapt their output much more frequently than has been required in the past The first two dynamic grid stability power plants utilizing the concept have been ordered by Elering and will be built by Wartsila in Kiisa Estonia Kiisa Power Plant Their purpose is to provide dynamic generation capacity to meet sudden and unexpected drops in the electricity supply They are scheduled to be ready during 2013 and 2014 and their total output will be 250 MW 40 Power system automation enables rapid diagnosis of and precise solutions to specific grid disruptions or outages These technologies rely on and contribute to each of the other four key areas Three technology categories for advanced control methods are distributed intelligent agents control systems analytical tools software algorithms and high speed computers and operational applications SCADA substation automation demand response etc Using artificial intelligence programming techniques the Fujian power grid in China created a wide area protection system that is rapidly able to accurately calculate a control strategy and execute it 41 The Voltage Stability Monitoring amp Control VSMC software uses a sensitivity based successive linear programming method to reliably determine the optimal control solution 42 IT companies disrupting the energy market edit Smart grid provides IT based solutions which the traditional power grid is lacking These new solutions pave the way of new entrants that were traditionally not related to the energy grid 43 44 Technology companies are disrupting the traditional energy market players in several ways They develop complex distribution systems to meet the more decentralized power generation due to microgrids Additionally is the increase in data collection bringing many new possibilities for technology companies as deploying transmission grid sensors at a user level and balancing system reserves 45 The technology in microgrids makes energy consumption cheaper for households than buying from utilities Additionally residents can manage their energy consumption easier and more effectively with the connection to smart meters 46 However the performances and reliability of microgrids strongly depend on the continuous interaction between power generation storage and load requirements 47 A hybrid offering combining renewable energy sources with storing energy sources as coal and gas is showing the hybrid offering of a microgrid serving alone Consequences edit As a consequence of the entrance of the technology companies in the energy market utilities and DSO s need to create new business models to keep current customers and to create new customers 48 Focus on a customer engagement strategy edit DSO s can focus on creating good customer engagement strategies to create loyalty and trust towards the customer 49 To retain and attract customers who decide to produce their own energy through microgrids DSO s can offer purchase agreements for the sale of surplus energy that the consumer produces 48 Indifference from the IT companies both DSO s and utilities can use their market experience to give consumers energy use advice and efficiency upgrades to create excellent customer service 50 Create alliances with new entered technology companies edit Instead of trying to compete against IT companies in their expertise both utilities and DSO s can try to create alliances with IT companies to create good solutions together The French utility company Engie did this by buying the service provider Ecova and OpTerra Energy Services 51 Renewable energy sources edit The generation of renewable energy can often be connected at the distribution level instead of the transmission grids 52 which means that DSO s can manage the flows and distribute power locally This brings new opportunity for DSO s to expand their market by selling energy directly to the consumer Simultaneously this is challenging the utilities producing fossil fuels who already are trapped by high costs of aging assets 53 Stricter regulations for producing traditional energy resources from the government increases the difficulty of stay in business and increases the pressure on traditional energy companies to make the shift to renewable energy sources 54 55 An example of a utility changing business model to produce more renewable energy is the Norwegian based company Equinor which was a state owned oil company which now are heavily investing in renewable energy Combined cycle hydrogen power plant edit nbsp Renewable and conventional energy production in Germany over two weeks in 2022 In hours with low wind and PV production hard coal and gas fill the gap Nuclear and biomass show almost no flexibility PV follows the increased consumption during daytime hours but varies seasonally Wind and solar power are variable renewable energy sources that aren t as consistent as base load energy and a combined cycle hydrogen power plant could help renewables by capturing excess energy with electrolysis when they produce to much and fill the gaps with that energy when they aren t producing as much Research editMajor programs edit IntelliGrid Created by the Electric Power Research Institute EPRI IntelliGrid architecture provides methodology tools and recommendations for standards and technologies for utility use in planning specifying and procuring IT based systems such as advanced metering distribution automation and demand response The architecture also provides a living laboratory for assessing devices systems and technology Several utilities have applied IntelliGrid architecture including Southern California Edison Long Island Power Authority Salt River Project and TXU Electric Delivery The IntelliGrid Consortium is a public private partnership that integrates and optimizes global research efforts funds technology R amp D works to integrate technologies and disseminates technical information 56 Grid 2030 Grid 2030 is a joint vision statement for the U S electrical system developed by the electric utility industry equipment manufacturers information technology providers federal and state government agencies interest groups universities and national laboratories It covers generation transmission distribution storage and end use 57 The National Electric Delivery Technologies Roadmap is the implementation document for the Grid 2030 vision The Roadmap outlines the key issues and challenges for modernizing the grid and suggests paths that government and industry can take to build America s future electric delivery system 58 Modern Grid Initiative MGI is a collaborative effort between the U S Department of Energy DOE the National Energy Technology Laboratory NETL utilities consumers researchers and other grid stakeholders to modernize and integrate the U S electrical grid DOE s Office of Electricity Delivery and Energy Reliability OE sponsors the initiative which builds upon Grid 2030 and the National Electricity Delivery Technologies Roadmap and is aligned with other programs such as GridWise and GridWorks 59 GridWise A DOE OE program focused on developing information technology to modernize the U S electrical grid Working with the GridWise Alliance the program invests in communications architecture and standards simulation and analysis tools smart technologies test beds and demonstration projects and new regulatory institutional and market frameworks The GridWise Alliance is a consortium of public and private electricity sector stakeholders providing a forum for idea exchanges cooperative efforts and meetings with policy makers at federal and state levels 60 GridWise Architecture Council GWAC was formed by the U S Department of Energy to promote and enable interoperability among the many entities that interact with the nation s electric power system The GWAC members are a balanced and respected team representing the many constituencies of the electricity supply chain and users The GWAC provides industry guidance and tools to articulate the goal of interoperability across the electric system identify the concepts and architectures needed to make interoperability possible and develop actionable steps to facilitate the inter operation of the systems devices and institutions that encompass the nation s electric system The GridWise Architecture Council Interoperability Context Setting Framework V 1 1 defines necessary guidelines and principles 61 GridWorks A DOE OE program focused on improving the reliability of the electric system through modernizing key grid components such as cables and conductors substations and protective systems and power electronics The program s focus includes coordinating efforts on high temperature superconducting systems transmission reliability technologies electric distribution technologies energy storage devices and GridWise systems 62 Pacific Northwest Smart Grid Demonstration Project This project is a demonstration across five Pacific Northwest states Idaho Montana Oregon Washington and Wyoming It involves about 60 000 metered customers and contains many key functions of the future smart grid 63 Solar Cities In Australia the Solar Cities programme included close collaboration with energy companies to trial smart meters peak and off peak pricing remote switching and related efforts It also provided some limited funding for grid upgrades 64 Smart Grid Energy Research Center SMERC Located at University of California Los Angeles dedicated its efforts to large scale testing of its smart EV charging network technology It created another platform for bidirectional flow of information between a utility and consumer end devices SMERC also developed a demand response DR test bed that comprises a Control Center Demand Response Automation Server DRAS Home Area Network HAN Battery Energy Storage System BESS and photovoltaic PV panels These technologies are installed within the Los Angeles Department of Water and Power and Southern California Edison territory as a network of EV chargers battery energy storage systems solar panels DC fast charger and Vehicle to Grid V2G units These platforms communications and control networks enables UCLA led projects within the area to be tested in partnership with two local utilities SCE and LADWP 65 Smart Quart In Germany the Smart Quart project develops three smart districts to develop test and showcase technology to operate smart grids The project is a collaboration of E ON Viessmann gridX and hydrogenious together with the RWTH Aachen University It is planned that by the end of 2024 all three districts are supplied with locally generated energy and are largely independent of fossil energy sources 66 Smart grid modelling edit Many different concepts have been used to model intelligent power grids They are generally studied within the framework of complex systems In a recent brainstorming session 67 the power grid was considered within the context of optimal control ecology human cognition glassy dynamics information theory microphysics of clouds and many others Here is a selection of the types of analyses that have appeared in recent years Protection systems that verify and supervise themselvesPelqim Spahiu and Ian R Evans in their study introduced the concept of a substation based smart protection and hybrid Inspection Unit 68 69 Kuramoto oscillatorsThe Kuramoto model is a well studied system The power grid has been described in this context as well 70 71 The goal is to keep the system in balance or to maintain phase synchronization also known as phase locking Non uniform oscillators also help to model different technologies different types of power generators patterns of consumption and so on The model has also been used to describe the synchronization patterns in the blinking of fireflies 70 Smart Grid Communication NetworkNetwork Simulators are used to simulate emulate network communication effects This typically involves setting up a lab with the smart grid devices applications etc with the virtual network being provided by the network simulator 72 73 Neural networksNeural networks have been considered for power grid management as well Electric power systems can be classified in multiple different ways non linear dynamic discrete or random Artificial Neural Networks ANNs attempt to solve the most difficult of these problems the non linear problems Demand ForecastingOne application of ANNs is in demand forecasting In order for grids to operate economically and reliably demand forecasting is essential because it is used to predict the amount of power that will be consumed by the load This is dependent on weather conditions type of day random events incidents etc For non linear loads though the load profile isn t smooth and as predictable resulting in higher uncertainty and less accuracy using the traditional Artificial Intelligence models Some factors that ANNs consider when developing these sort of models classification of load profiles of different customer classes based on the consumption of electricity increased responsiveness of demand to predict real time electricity prices as compared to conventional grids the need to input past demand as different components such as peak load base load valley load average load etc instead of joining them into a single input and lastly the dependence of the type on specific input variables An example of the last case would be given the type of day whether its weekday or weekend that wouldn t have much of an effect on Hospital grids but it d be a big factor in resident housing grids load profile 74 75 76 77 78 Markov processesAs wind power continues to gain popularity it becomes a necessary ingredient in realistic power grid studies Off line storage wind variability supply demand pricing and other factors can be modelled as a mathematical game Here the goal is to develop a winning strategy Markov processes have been used to model and study this type of system 79 Economics editMarket outlook edit In 2009 the US smart grid industry was valued at about 21 4 billion by 2014 it will exceed at least 42 8 billion Given the success of the smart grids in the U S the world market is expected to grow at a faster rate surging from 69 3 billion in 2009 to 171 4 billion by 2014 With the segments set to benefit the most will be smart metering hardware sellers and makers of software used to transmit and organize the massive amount of data collected by meters 80 A 2011 study from the Electric Power Research Institute concludes that investment in a U S smart grid will cost up to 476 billion over 20 years but will provide up to 2 trillion in customer benefits over that time 81 In 2015 the World Economic Forum reported a transformational investment of more than 7 6 trillion by members of the OECD is needed over the next 25 years or 300 billion per year to modernize expand and decentralize the electricity infrastructure with technical innovation as key to the transformation 82 A 2019 study from International Energy Agency estimates that the current depreciated value of the US electric grid is more than USD 1 trillion The total cost of replacing it with a smart grid is estimated to be more than USD 4 trillion If smart grids are deployed fully across the US the country expects to save USD 130 billion annually 83 General economics developments edit As customers can choose their electricity suppliers depending on their different tariff methods the focus of transportation costs will be increased Reduction of maintenance and replacements costs will stimulate more advanced control A smart grid precisely limits electrical power down to the residential level network small scale distributed energy generation and storage devices communicate information on operating status and needs collect information on prices and grid conditions and move the grid beyond central control to a collaborative network 84 US and UK savings estimates and concerns edit A 2003 United States Department of Energy study calculated that internal modernization of US grids with smart grid capabilities would save between 46 and 117 billion dollars over the next 20 years if implemented within a few years of the study 85 As well as these industrial modernization benefits smart grid features could expand energy efficiency beyond the grid into the home by coordinating low priority home devices such as water heaters so that their use of power takes advantage of the most desirable energy sources Smart grids can also coordinate the production of power from large numbers of small power producers such as owners of rooftop solar panels an arrangement that would otherwise prove problematic for power systems operators at local utilities One important question is whether consumers will act in response to market signals The U S Department of Energy DOE as part of the American Recovery and Reinvestment Act Smart Grid Investment Grant and Demonstrations Program funded special consumer behavior studies to examine the acceptance retention and response of consumers subscribed to time based utility rate programs Archived 2015 03 18 at the Wayback Machine that involve advanced metering infrastructure and customer systems such as in home displays and programmable communicating thermostats Another concern is that the cost of telecommunications to fully support smart grids may be prohibitive A less expensive communication mechanism is proposed citation needed using a form of dynamic demand management where devices shave peaks by shifting their loads in reaction to grid frequency Grid frequency could be used to communicate load information without the need of an additional telecommunication network but it would not support economic bargaining or quantification of contributions Although there are specific and proven smart grid technologies in use smart grid is an aggregate term for a set of related technologies on which a specification is generally agreed rather than a name for a specific technology Some of the benefits of such a modernized electricity network include the ability to reduce power consumption at the consumer side during peak hours called demand side management enabling grid connection of distributed generation power with photovoltaic arrays small wind turbines micro hydro or even combined heat power generators in buildings incorporating grid energy storage for distributed generation load balancing and eliminating or containing failures such as widespread power grid cascading failures The increased efficiency and reliability of the smart grid is expected to save consumers money and help reduce CO2 emissions 86 Oppositions and concerns editMost opposition and concerns have centered on smart meters and the items such as remote control remote disconnect and variable rate pricing enabled by them Where opposition to smart meters is encountered they are often marketed as smart grid which connects smart grid to smart meters in the eyes of opponents Specific points of opposition or concern include consumer concerns over privacy e g use of usage data by law enforcement social concerns over fair availability of electricity concern that complex rate systems e g variable rates remove clarity and accountability allowing the supplier to take advantage of the customer concern over remotely controllable kill switch incorporated into most smart meters social concerns over Enron style abuses of information leverage concerns over giving the government mechanisms to control the use of all power using activities concerns over RF emissions from smart metersSecurity edit While modernization of electrical grids into smart grids allows for optimization of everyday processes a smart grid being online can be vulnerable to cyberattacks 87 88 Transformers which increase the voltage of electricity created at power plants for long distance travel transmission lines themselves and distribution lines which deliver the electricity to its consumers are particularly susceptible 89 These systems rely on sensors which gather information from the field and then deliver it to control centers where algorithms automate analysis and decision making processes These decisions are sent back to the field where existing equipment execute them 90 Hackers have the potential to disrupt these automated control systems severing the channels which allow generated electricity to be utilized 89 This is called a denial of service or DoS attack They can also launch integrity attacks which corrupt information being transmitted along the system as well as desynchronization attacks which affect when such information is delivered to the appropriate location 90 Additionally intruders can gain access via renewable energy generation systems and smart meters connected to the grid taking advantage of more specialized weaknesses or ones whose security has not been prioritized Because a smart grid has a large number of access points like smart meters defending all of its weak points can prove difficult 87 There is also concern on the security of the infrastructure primarily that involving communications technology Concerns chiefly center around the communications technology at the heart of the smart grid Designed to allow real time contact between utilities and meters in customers homes and businesses there is a risk that these capabilities could be exploited for criminal or even terrorist actions 11 One of the key capabilities of this connectivity is the ability to remotely switch off power supplies enabling utilities to quickly and easily cease or modify supplies to customers who default on payment This is undoubtedly a massive boon for energy providers but also raises some significant security issues 91 Cybercriminals have infiltrated the U S electric grid before on numerous occasions 92 Aside from computer infiltration there are also concerns that computer malware like Stuxnet which targeted SCADA systems which are widely used in industry could be used to attack a smart grid network 93 Electricity theft is a concern in the U S where the smart meters being deployed use RF technology to communicate with the electricity transmission network citation needed People with knowledge of electronics can devise interference devices to cause the smart meter to report lower than actual usage citation needed Similarly the same technology can be employed to make it appear that the energy the consumer is using is being used by another customer increasing their bill citation needed The damage from a well executed sizable cyberattack could be extensive and long lasting One incapacitated substation could take from nine days to over a year to repair depending on the nature of the attack It can also cause an hours long outage in a small radius It could have an immediate effect on transportation infrastructure as traffic lights and other routing mechanisms as well as ventilation equipment for underground roadways is reliant on electricity 94 Additionally infrastructure which relies on the electric grid including wastewater treatment facilities the information technology sector and communications systems could be impacted 94 The December 2015 Ukraine power grid cyberattack the first recorded of its kind disrupted services to nearly a quarter of a million people by bringing substations offline 95 96 The Council on Foreign Relations has noted that states are most likely to be the perpetrators of such an attack as they have access to the resources to carry one out despite the high level of difficulty of doing so Cyber intrusions can be used as portions of a larger offensive military or otherwise 96 Some security experts warn that this type of event is easily scalable to grids elsewhere 97 Insurance company Lloyd s of London has already modeled the outcome of a cyberattack on the Eastern Interconnection which has the potential to impact 15 states put 93 million people in the dark and cost the country s economy anywhere from 243 billion to 1 trillion in various damages 98 According to the U S House of Representatives Subcommittee on Economic Development Public Buildings and Emergency Management the electric grid has already seen a sizable number of cyber intrusions with two in every five aiming to incapacitate it 89 As such the U S Department of Energy has prioritized research and development to decrease the electric grid s vulnerability to cyberattacks citing them as an imminent danger in its 2017 Quadrennial Energy Review 99 The Department of Energy has also identified both attack resistance and self healing as major keys to ensuring that today s smart grid is future proof 90 While there are regulations already in place namely the Critical Infrastructure Protection Standards introduced by the North America Electric Reliability Council a significant number of them are suggestions rather than mandates 96 Most electricity generation transmission and distribution facilities and equipment are owned by private stakeholders further complicating the task of assessing adherence to such standards 99 Additionally even if utilities want to fully comply they may find that it is too expensive to do so 96 Some experts argue that the first step to increasing the cyber defenses of the smart electric grid is completing a comprehensive risk analysis of existing infrastructure including research of software hardware and communication processes Additionally as intrusions themselves can provide valuable information it could be useful to analyze system logs and other records of their nature and timing Common weaknesses already identified using such methods by the Department of Homeland Security include poor code quality improper authentication and weak firewall rules Once this step is completed some suggest that it makes sense to then complete an analysis of the potential consequences of the aforementioned failures or shortcomings This includes both immediate consequences as well as second and third order cascading effects on parallel systems Finally risk mitigation solutions which may include simple remediation of infrastructure inadequacies or novel strategies can be deployed to address the situation Some such measures include recoding of control system algorithms to make them more able to resist and recover from cyberattacks or preventive techniques that allow more efficient detection of unusual or unauthorized changes to data Strategies to account for human error which can compromise systems include educating those who work in the field to be wary of strange USB drives which can introduce malware if inserted even if just to check their contents 90 Other solutions include utilizing transmission substations constrained SCADA networks policy based data sharing and attestation for constrained smart meters Transmission substations utilize one time signature authentication technologies and one way hash chain constructs These constraints have since been remedied with the creation of a fast signing and verification technology and buffering free data processing 100 A similar solution has been constructed for constrained SCADA networks This involves applying a Hash Based Message Authentication Code to byte streams converting the random error detection available on legacy systems to a mechanism that guarantees data authenticity 100 Policy based data sharing utilizes GPS clock synchronized fine grain power grid measurements to provide increased grid stability and reliability It does this through synchro phasor requirements that are gathered by PMUs 100 Attestation for constrained smart meters faces a slightly different challenge however One of the biggest issues with attestation for constrained smart meters is that in order to prevent energy theft and similar attacks cyber security providers have to make sure that the devices software is authentic To combat this problem an architecture for constrained smart networks has been created and implemented at a low level in the embedded system 100 The protection system of a smart grid provides grid reliability analysis failure protection and security and privacy protection services While the additional communication infrastructure of a smart grid provides additional protective and security mechanisms it also presents a risk of external attack and internal failures In a report on cyber security of smart grid technology first produced in 2010 and later updated in 2014 the US National Institute of Standards and Technology pointed out that the ability to collect more data about energy use from customer smart meters also raises major privacy concerns since the information stored at the meter which is potentially vulnerable to data breaches can be mined for personal details about customers 101 Other challenges to adoption editBefore a utility installs an advanced metering system or any type of smart system it must make a business case for the investment Some components like the power system stabilizers PSS clarification needed installed on generators are very expensive require complex integration in the grid s control system are needed only during emergencies and are only effective if other suppliers on the network have them Without any incentive to install them power suppliers don t 102 Most utilities find it difficult to justify installing a communications infrastructure for a single application e g meter reading Because of this a utility must typically identify several applications that will use the same communications infrastructure for example reading a meter monitoring power quality remote connection and disconnection of customers enabling demand response etc Ideally the communications infrastructure will not only support near term applications but unanticipated applications that will arise in the future Regulatory or legislative actions can also drive utilities to implement pieces of a smart grid puzzle Each utility has a unique set of business regulatory and legislative drivers that guide its investments This means that each utility will take a different path to creating their smart grid and that different utilities will create smart grids at different adoption rates citation needed Some features of smart grids draw opposition from industries that currently are or hope to provide similar services An example is competition with cable and DSL Internet providers from broadband over powerline internet access Providers of SCADA control systems for grids have intentionally designed proprietary hardware protocols and software so that they cannot inter operate with other systems in order to tie its customers to the vendor 103 The incorporation of digital communications and computer infrastructure with the grid s existing physical infrastructure poses challenges and inherent vulnerabilities According to IEEE Security and Privacy Magazine the smart grid will require that people develop and use large computer and communication infrastructure that supports a greater degree of situational awareness and that allows for more specific command and control operations This process is necessary to support major systems such as demand response wide area measurement and control storage and transportation of electricity and the automation of electric distribution 104 Power Theft Power Loss edit Various smart grid systems have dual functions This includes Advanced Metering Infrastructure systems which when used with various software can be used to detect power theft and by process of elimination detect where equipment failures have taken place These are in addition to their primary functions of eliminating the need for human meter reading and measuring the time of use of electricity The worldwide power loss including theft is estimated at two hundred billion dollars annually 105 Electricity theft also represents a major challenge when providing reliable electrical service in developing countries 36 Deployments and attempted deployments editEnel edit The earliest and one of the largest example of a smart grid is the Italian system installed by Enel S p A of Italy Completed in 2005 the Telegestore project was highly unusual in the utility world because the company designed and manufactured their own meters acted as their own system integrator and developed their own system software The Telegestore project is widely regarded as the first commercial scale use of smart grid technology to the home and delivers annual savings of 500 million euro at a project cost of 2 1 billion euro 19 US Dept of Energy ARRA Smart Grid Project edit One of the largest deployment programs in the world to date is the U S Dept of Energy s Smart Grid Program funded by the American Recovery and Reinvestment Act of 2009 This program required matching funding from individual utilities A total of over 9 billion in Public Private funds were invested as part of this program Technologies included Advanced Metering Infrastructure including over 65 million Advanced Smart Meters Customer Interface Systems Distribution amp Substation Automation Volt VAR Optimization Systems over 1 000 Synchrophasors Dynamic Line Rating Cyber Security Projects Advanced Distribution Management Systems Energy Storage Systems and Renewable Energy Integration Projects This program consisted of Investment Grants matching Demonstration Projects Consumer Acceptance Studies and Workforce Education Programs Reports from all individual utility programs as well as overall impact reports will be completed by the second quarter of 2015 In the U S the Energy Policy Act of 2005 and Title XIII of the Energy Independence and Security Act of 2007 are providing funding to encourage smart grid development The objective is to enable utilities to better predict their needs and in some cases involve consumers in a time of use tariff Funds have also been allocated to develop more robust energy control technologies 106 107 Austin Texas edit In the US the city of Austin Texas has been working on building its smart grid since 2003 when its utility first replaced 1 3 of its manual meters with smart meters that communicate via a wireless mesh network It currently manages 200 000 devices real time smart meters smart thermostats and sensors across its service area and expects to be supporting 500 000 devices real time in 2009 servicing 1 million consumers and 43 000 businesses 108 Boulder Colorado edit Boulder Colorado completed the first phase of its smart grid project in August 2008 Both systems use the smart meter as a gateway to the home automation network HAN that controls smart sockets and devices Some HAN designers favor decoupling control functions from the meter out of concern of future mismatches with new standards and technologies available from the fast moving business segment of home electronic devices 109 Hydro One edit Hydro One in Ontario Canada is in the midst of a large scale Smart Grid initiative deploying a standards compliant communications infrastructure from Trilliant By the end of 2010 the system will serve 1 3 million customers in the province of Ontario The initiative won the Best AMR Initiative in North America award from the Utility Planning Network 110 Ile d Yeu edit Ile d Yeu began a 2 year pilot program in Spring of 2020 Twenty three houses in the Ker Pissot neighborhood and surrounding areas were interconnected with a microgrid that was automated as a smart grid with software from Engie Sixty four solar panels with a peak capacity of 23 7 kW were installed on five houses and a battery with a storage capacity of 15 kWh was installed on one house Six houses store excess solar energy in their hot water heaters A dynamic system apportions the energy provided by the solar panels and stored in the battery and hot water heaters to the system of 23 houses The smart grid software dynamically updates energy supply and demand in 5 minute intervals deciding whether to pull energy from the battery or from the panels and when to store it in the hot water heaters This pilot program was the first such project in France 111 112 Mannheim edit The City of Mannheim in Germany is using realtime Broadband Powerline BPL communications in its Model City Mannheim MoMa project 113 Sydney edit Sydney also in Australia in partnership with the Australian Government implemented the Smart Grid Smart City program 114 Evora edit InovGrid is an innovative project in Evora Portugal that aims to equip the electricity grid with information and devices to automate grid management improve service quality reduce operating costs promote energy efficiency and environmental sustainability and increase the penetration of renewable energies and electric vehicles It will be possible to control and manage the state of the entire electricity distribution grid at any given instant allowing suppliers and energy services companies to use this technological platform to offer consumers information and added value energy products and services This project to install an intelligent energy grid places Portugal and EDP at the cutting edge of technological innovation and service provision in Europe 115 116 E Energy edit In the so called E Energy projects several German utilities are creating first nucleolus in six independent model regions A technology competition identified this model regions to carry out research and development activities with the main objective to create an Internet of Energy 117 Massachusetts edit One of the first attempted deployments of smart grid technologies in the United States was rejected in 2009 by electricity regulators in the Commonwealth of Massachusetts a US state 118 According to an article in the Boston Globe Northeast Utilities Western Massachusetts Electric Co subsidiary actually attempted to create a smart grid program using public subsidies that would switch low income customers from post pay to pre pay billing using smart cards in addition to special hiked premium rates for electricity used above a predetermined amount 118 This plan was rejected by regulators as it eroded important protections for low income customers against shutoffs 118 According to the Boston Globe the plan unfairly targeted low income customers and circumvented Massachusetts laws meant to help struggling consumers keep the lights on 118 A spokesman for an environmental group supportive of smart grid plans and Western Massachusetts Electric s aforementioned smart grid plan in particular stated If used properly smart grid technology has a lot of potential for reducing peak demand which would allow us to shut down some of the oldest dirtiest power plants It s a tool 118 eEnergy Vermont consortium edit The eEnergy Vermont consortium 119 is a US statewide initiative in Vermont funded in part through the American Recovery and Reinvestment Act of 2009 in which all of the electric utilities in the state have rapidly adopted a variety of Smart Grid technologies including about 90 Advanced Metering Infrastructure deployment and are presently evaluating a variety of dynamic rate structures Netherlands edit In the Netherlands a large scale project gt 5000 connections gt 20 partners was initiated to demonstrate integrated smart grids technologies services and business cases 120 Chattanooga edit EPB in Chattanooga TN is a municipally owned electric utility that started construction of a smart grid in 2008 receiving a 111 567 606 grant from the US DOE in 2009 to expedite construction and implementation for a total budget of 232 219 350 Deployment of power line interrupters 1170 units was completed in April 2012 and deployment of smart meters 172 079 units was completed in 2013 The smart grid s backbone fiber optic system was also used to provide the first gigabit speed internet connection to residential customers in the US through the Fiber to the Home initiative and now speeds of up to 10 gigabits per second are available to residents The smart grid is estimated to have reduced power outages by an average of 60 saving the city about 60 million dollars annually It has also reduced the need for truck rolls to scout and troubleshoot faults resulting in an estimated reduction of 630 000 truck driving miles and 4 7 million pounds of carbon emissions In January 2016 EPB became the first major power distribution system to earn Performance Excellence in Electricity Renewal PEER certification 121 122 123 124 OpenADR Implementations edit Certain deployments utilize the OpenADR standard for load shedding and demand reduction during higher demand periods China edit The smart grid market in China is estimated to be 22 3 billion with a projected growth to 61 4 billion by 2015 Honeywell is developing a demand response pilot and feasibility study for China with the State Grid Corp of China using the OpenADR demand response standard The State Grid Corp the Chinese Academy of Science and General Electric intend to work together to develop standards for China s smart grid rollout 125 126 127 United States edit In 2009 the US Department of Energy awarded an 11 million grant to Southern California Edison and Honeywell for a demand response program that automatically turns down energy use during peak hours for participating industrial customers 128 129 The Department of Energy awarded an 11 4 million grant to Honeywell to implement the program using the OpenADR standard 130 Hawaiian Electric Co HECO is implementing a two year pilot project to test the ability of an ADR program to respond to the intermittence of wind power Hawaii has a goal to obtain 70 percent of its power from renewable sources by 2030 HECO will give customers incentives for reducing power consumption within 10 minutes of a notice 131 Guidelines standards and user groups editPart of the IEEE Smart Grid Initiative 132 IEEE 2030 2 represents an extension of the work aimed at utility storage systems for transmission and distribution networks The IEEE P2030 group expects to deliver early 2011 an overarching set of guidelines on smart grid interfaces The new guidelines will cover areas including batteries and supercapacitors as well as flywheels The group has also spun out a 2030 1 effort drafting guidelines for integrating electric vehicles into the smart grid IEC TC 57 has created a family of international standards that can be used as part of the smart grid These standards include IEC 61850 which is an architecture for substation automation and IEC 61970 61968 the Common Information Model CIM The CIM provides for common semantics to be used for turning data into information OpenADR is an open source smart grid communications standard used for demand response applications 133 It is typically used to send information and signals to cause electrical power using devices to be turned off during periods of higher demand MultiSpeak has created a specification that supports distribution functionality of the smart grid MultiSpeak has a robust set of integration definitions that supports nearly all of the software interfaces necessary for a distribution utility or for the distribution portion of a vertically integrated utility MultiSpeak integration is defined using extensible markup language XML and web services The IEEE has created a standard to support synchrophasors C37 118 134 The UCA International User Group discusses and supports real world experience of the standards used in smart grids A utility task group within LonMark International deals with smart grid related issues There is a growing trend towards the use of TCP IP technology as a common communication platform for smart meter applications so that utilities can deploy multiple communication systems while using IP technology as a common management platform 135 136 IEEE P2030 is an IEEE project developing a Draft Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System EPS and End Use Applications and Loads 137 138 NIST has included ITU T G hn as one of the Standards Identified for Implementation for the Smart Grid for which it believed there was strong stakeholder consensus 139 G hn is standard for high speed communications over power lines phone lines and coaxial cables OASIS EnergyInterop An OASIS technical committee developing XML standards for energy interoperation Its starting point is the California OpenADR standard Under the Energy Independence and Security Act of 2007 EISA NIST is charged with overseeing the identification and selection of hundreds of standards that will be required to implement the Smart Grid in the U S These standards will be referred by NIST to the Federal Energy Regulatory Commission FERC This work has begun and the first standards have already been selected for inclusion in NIST s Smart Grid catalog 140 However some commentators have suggested that the benefits that could be realized from Smart Grid standardization could be threatened by a growing number of patents that cover Smart Grid architecture and technologies 141 If patents that cover standardized Smart Grid elements are not revealed until technology is broadly distributed throughout the network locked in significant disruption could occur when patent holders seek to collect unanticipated rents from large segments of the market GridWise Alliance rankings editIn November 2017 the non profit GridWise Alliance along with Clean Edge Inc a clean energy group released rankings for all 50 states in their efforts to modernize the electric grid California was ranked number one The other top states were Illinois Texas Maryland Oregon Arizona the District of Columbia New York Nevada and Delaware The 30 plus page report from the GridWise Alliance which represents stakeholders that design build and operate the electric grid takes a deep dive into grid modernization efforts across the country and ranks them by state 142 See also edit nbsp Energy portal nbsp End of line of T pylonsCharge control Electranet Graphene clad wire Grid friendly Grid energy storage Home energy storage Large scale energy storage List of energy storage projects Microgrid Net metering Open smart grid protocol Smart grids by country Smart villages in Asia Super grid T pylons Vehicle to grid V2G Virtual power plant Wide area synchronous grid Smart cityReferences edit Smart Grid The New and Improved Power Grid A Survey IEEE Communications Surveys and Tutorials 2011 X Fang S Misra G Xue and D Yang doi 10 1109 SURV 2011 101911 00087 Federal Energy Regulatory Commission Assessment of Demand Response amp Advanced Metering PDF Sayed K Gabbar H A 1 January 2017 Chapter 18 SCADA and smart energy grid control automation Smart Energy Grid Engineering Academic Press 481 514 doi 10 1016 B978 0 12 805343 0 00018 8 ISBN 978 0128053430 Hu J Lanzon A 2019 Distributed finite time consensus control for heterogeneous battery energy storage systems in droop controlled microgrids IEEE Transactions on Smart Grid 10 5 4751 4761 doi 10 1109 TSG 2018 2868112 S2CID 117469364 Federal Energy Regulatory Commission Assessment of Demand Response amp Advanced Metering PDF United States Federal Energy Regulatory Commission Saleh M S Althaibani A Esa Y Mhandi Y Mohamed A A October 2015 Impact of clustering microgrids on their stability and resilience during blackouts 2015 International Conference on Smart Grid and Clean Energy Technologies ICSGCE pp 195 200 doi 10 1109 ICSGCE 2015 7454295 ISBN 978 1 4673 8732 3 S2CID 25664994 Torriti Jacopo 2012 Demand Side Management for the European Supergrid Occupancy variances of European single person households Energy Policy 44 199 206 doi 10 1016 j enpol 2012 01 039 Smart Grids European Technology Platform SmartGrids 2011 Archived from the original on 2011 10 03 Retrieved 2011 10 11 The History of Electrification The Birth of our Power Grid Edison Tech Center Retrieved November 6 2013 Mohsen Fadaee Nejad AminMohammad Saberian Hashim Hizam et al 2013 Application of smart power grid in developing countries 2013 IEEE 7th International Power Engineering and Optimization Conference PEOCO PDF IEEE pp 427 431 doi 10 1109 PEOCO 2013 6564586 ISBN 978 1 4673 5074 7 S2CID 9292426 a b c d e f Berger Lars T Iniewski Krzysztof eds April 2012 Smart Grid Applicacions Communications and Security John Wiley and Sons ISBN 978 1 1180 0439 5 Smart Grid Working Group June 2003 Challenge and Opportunity Charting a New Energy Future Appendix A Working Group Reports PDF Energy Future Coalition Archived from the original PDF on 2009 03 18 Retrieved 2008 11 27 Smart Grid definition by EU Commission PDF Archived from the original on 14 April 2020 Gesellschaft fur Operations Research Annual International Conference Neufeld Janis S Buscher Udo Lasch Rainer Most Dominik Schonberger Jorn 2020 On the Observabilty of Smart Grids and Related Optimization Methods Operations Research Proceedings 2019 selected papers of the Annual International Conference of the German Operations Research Society GOR Dresden Germany September 4 6 2019 Cham Switzerland Springer p 281 ISBN 978 3 030 48439 2 OCLC 1198557067 Functionalities of smart grids and smart meters Smart Grids Task Force December 2010 COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT THE COUNCIL THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS Smart Grids from innovation to deployment EUROPEAN TASK FORCE FOR THE IMPLEMENTATION OF SMART GRIDS INTO THE EUROPEAN INTERNAL MARKET Mission and Word Programme PDF CIRCABC Retrieved 2022 07 25 Assessment of Demand Response and Advanced Metering Docket AD06 2 000 PDF Federal Energy Regulatory Commission Report United States Department of Energy August 2006 p 20 Archived from the original PDF on 2008 10 27 Retrieved 2008 11 27 a b NETL Modern Grid Initiative Powering Our 21st Century Economy PDF National Energy Technology Laboratory Report United States Department of Energy Office of Electricity Delivery and Energy Reliability August 2007 p 17 Archived from the original PDF on 2012 02 23 Retrieved 2008 12 06 Gridwise History How did GridWise start Pacific Northwest National Laboratory 2007 10 30 Archived from the original on 2008 10 27 Retrieved 2008 12 03 Qixun Yang Bi Tianshu 2001 06 24 WAMS Implementation in China and the Challenges for Bulk Power System Protection PDF Panel Session Developments in Power Generation and Transmission Infrastructures in China IEEE 2007 General Meeting Tampa FL USA 24 28 June 2007 Electric Power ABB Power T amp D Company and Tennessee Valley Authority Retrieved 2008 12 01 Alexandra Von Meier 2013 Electrical Engineer 137A Electric Power Systems Lecture 2 Introduction to Electric Power Systems Slide 33 Yih Fang Huang Werner S Jing Huang Kashyap N Gupta V State Estimation in Electric Power Grids Meeting New Challenges Presented by the Requirements of the Future Grid Signal Processing Magazine IEEE vol 29 no 5 pp 33 43 Sept 2012 Ntobela Simthandile 2019 05 07 Chill Chat Eat The Secret to Life Without Power Wall Street Journal ISSN 0099 9660 Retrieved 2019 10 09 Torrejon Rodrigo Power outages What you need to know about the different types North Jersey Retrieved 2019 10 09 Tomoiagă B Chindris M Sumper A Sudria Andreu A Villafafila Robles R Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA II Energies 2013 6 1439 1455 a b c N A Sinitsyn S Kundu S Backhaus 2013 Safe Protocols for Generating Power Pulses with Heterogeneous Populations of Thermostatically Controlled Loads Energy Conversion and Management 67 297 308 arXiv 1211 0248 doi 10 1016 j enconman 2012 11 021 S2CID 32067734 Smart Grid Environmental Benefits Energy Future Coalition Challenge and Opportunity Charting a New Energy Future Appendix A Working Group Reports Report of the Smart Grid Working Group https web archive org web 20080910051559 http www energyfuturecoalition org pubs app smart grid pdf Zhang Xiao Hug G Kolter Z Harjunkoski I 2015 10 01 Industrial demand response by steel plants with spinning reserve provision 2015 North American Power Symposium NAPS pp 1 6 doi 10 1109 NAPS 2015 7335115 ISBN 978 1 4673 7389 0 S2CID 12558667 Zhang X Hug G 2015 02 01 Bidding strategy in energy and spinning reserve markets for aluminum smelters demand response 2015 IEEE Power amp Energy Society Innovative Smart Grid Technologies Conference ISGT pp 1 5 doi 10 1109 ISGT 2015 7131854 ISBN 978 1 4799 1785 3 S2CID 8139559 Storing Power in Molten Aluminum Lakes Bloomberg News 26 November 2014 Why the Smart Grid Won t Have the Innovations of the Internet Any Time Soon Cleantech News and Analysis Archived 2020 04 22 at the Wayback Machine Earth2tech com 2009 06 05 Retrieved on 2011 05 14 U S Department of Energy National Energy Technology Laboratory Modern Grid Initiative http www netl doe gov moderngrid opportunity vision technologies html Archived July 11 2007 at the Wayback Machine F R Yu P Zhang W Xiao and P Choudhury Communication Systems for Grid Integration of Renewable Energy Resources IEEE Network vol 25 no 5 pp 22 29 Sept 2011 a b Buevich Maxim Zhang Xiao Schnitzer Dan Escalada Tristan Jacquiau Chamski Arthur Thacker Jon Rowe Anthony 2015 01 01 Short Paper Microgrid Losses Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy Efficient Built Environments BuildSys 15 New York NY USA pp 95 98 doi 10 1145 2821650 2821676 ISBN 9781450339810 S2CID 2742485 a href Template Cite book html title Template Cite book cite book a CS1 maint location missing publisher link Patrick Mazza 2005 04 27 Powering Up the Smart Grid A Northwest Initiative for Job Creation Energy Security and Clean Affordable Electricity Climate Solutions 7 Archived from the original doc on 2008 12 30 Retrieved 2008 12 01 a href Template Cite journal html title Template Cite journal cite journal a Cite journal requires journal help Smart Wire Grid Distributed Power Flow Control arpa e energy gov Archived from the original on 2014 08 08 Retrieved 2014 07 25 Klimstra Jakob Hotakainen Markus 2011 Smart Power Generation PDF Helsinki Avain Publishers ISBN 9789516928466 Toomas Hobemagi Baltic Business News Wide Area Protection System for Stability PDF Nanjing Nari Relays Electric Co 2008 04 22 p 2 Archived from the original PDF on 2009 03 18 Retrieved 2008 12 12 unreliable source Examples are given of two events one stabilizing the system after a fault on a 1 gigawatt HVDC feed with response timed in milliseconds Zhao Jinquan Huang Wenying Fang Zhaoxiong Chen Feng Li Kewen Deng Yong 2007 06 24 2007 IEEE Power Engineering Society General Meeting Proceedings Power Engineering Society General Meeting 2007 Tampa FL USA IEEE p 1 doi 10 1109 PES 2007 385975 ISBN 978 1 4244 1296 9 S2CID 6167525 Pinkse J Kolk A 2010 Challenges and trade offs in corporate innovation for climate change PDF Business Strategy and the Environment 19 4 261 272 doi 10 1002 bse 677 Jacobides Michael G Knudsen Thorbjorn Augier Mie October 2006 Benefiting from innovation Value creation value appropriation and the role of industry architectures Research Policy 35 8 1200 1221 doi 10 1016 j respol 2006 09 005 Digitalization amp Energy Paris International Electricity Agency 2017 doi 10 1787 9789264286276 en ISBN 9789264286276 Chowdhury S Crowdhury S P Crossley P Microgrids and active distribution networks Institution of Engineering and Technology ISBN 9781849191029 Bifaretti S Cordiner S Mulone V Rocco V Rossi J L Spagnolo F May 2017 Grid connected Microgrids to Support Renewable Energy Sources Penetration Energy Procedia 105 2910 2915 doi 10 1016 j egypro 2017 03 658 a b Customer engagement in an era of energy transformation PDF www pwc nl PwC Retrieved 8 October 2018 Ross J W Sebastian I M Beath C M 2017 How to Develop a Great Digital Strategy PDF MITSloan Management Review 58 2 Archived from the original PDF on 2018 09 20 Retrieved 2018 10 08 Samuelson K How Do You Attract Next Generation Utility Customers E Source www esource com Retrieved 8 October 2018 John J S 2017 06 29 The Case for Utilities to Bundle Their Energy Businesses Before They re Cannibalized www greentechmedia com Retrieved 8 October 2018 Kling W L Ummels B C Hendriks R L June 2007 Transmission and System Integration of Wind Power in the Netherlands 2007 IEEE Power Engineering Society General Meeting pp 1 6 doi 10 1109 PES 2007 385926 ISBN 978 1 4244 1296 9 S2CID 23659172 Retrieved 8 October 2018 Nieponice G 28 March 2017 5 things utilities companies must do to future proof themselves World Economic Forum Retrieved 8 October 2018 Juszczyk Oskar Juszczyk Juliusz Juszczyk Slawomir Takala Josu January 2022 Barriers for Renewable Energy Technologies Diffusion Empirical Evidence from Finland and Poland Energies 15 2 527 doi 10 3390 en15020527 ISSN 1996 1073 Brown J P Coupal R Hitaj C Kelsey T W Krannich R S Xiarchos I M New Dynamics in Fossil Fuel and Renewable Energy for Rural America No 260676 PDF www usda gov United States Department of Agriculture Archived from the original PDF on October 8 2018 Retrieved 8 October 2018 Electric Power Research Institute IntelliGrid Program U S Department of Energy Office of Electric Transmission and Distribution Grid 2030 A National Vision for Electricity s Second 100 Years Archived 2011 07 21 at the Wayback Machine July 2003 U S Department of Energy Office of Electric Transmission and Distribution National Electric Delivery Technologies Roadmap Archived 2011 07 21 at the Wayback Machine U S Department of Energy National Energy Technology Laboratory Archived 2010 01 09 at the Wayback Machine U S Department of Energy Office of Electricity Delivery and Energy Reliability Archived 2006 02 03 at the Wayback Machine GridWise Program fact sheet Archived 2008 09 10 at the Wayback Machine and GridWise Alliance http www gridwiseac org pdfs interopframework v1 1 pdf bare URL PDF U S Department of Energy Office of Electricity Delivery and Energy Reliability Gridworks Pacific Northwest Smart Grid Demonstration Project Australia Department of the Environment Solar Cities Programme Smart Grid Energy Research Center circular reference SmartQuart SmartQuart in German Retrieved 2021 02 08 Paul Bourgine David Chavalarias Edith Perrier Frederic Amblard Francois Arlabosse Pierre Auger Jean Bernard Baillon Olivier Barreteau Pierre Baudot 2009 French Roadmap for complex Systems 2008 2009 arXiv 0907 2221 nlin AO Spahiu Pelqim Evans Ian R 2011 Protection Systems that verify and supervise themselves 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies pp 1 4 doi 10 1109 ISGTEurope 2011 6162614 ISBN 978 1 4577 1421 4 S2CID 21647584 Spahiu P Uppal N 2010 IED based protection amp control equipment with non standard primary system arrangements an approach to application 10th IET International Conference on Developments in Power System Protection DPSP 2010 Managing the Change p 141 doi 10 1049 cp 2010 0263 ISBN 978 1 84919 212 5 a b Giovanni Filatrella Arne Hejde Nielsen Niels Falsig Pedersen 2008 Analysis of a power grid using the Kuramoto like model European Physical Journal B 61 4 485 491 arXiv 0705 1305 Bibcode 2008EPJB 61 485F doi 10 1140 epjb e2008 00098 8 S2CID 18383765 Florian Dorfler Francesco Bullo 2009 Synchronization and Transient Stability in Power Networks and Non Uniform Kuramoto Oscillators arXiv 0910 5673 math OC Montazerolghaem A Yaghmaee M H Leon Garcia A 2017 OpenAMI Software Defined AMI Load Balancing IEEE Internet of Things Journal PP 99 206 218 doi 10 1109 jiot 2017 2778006 S2CID 46747824 Montazerolghaem Ahmadreza Yaghmaee Mohammad Hossein 2021 Demand Response Application as a Service An SDN based Management Framework IEEE Transactions on Smart Grid 13 3 1952 1966 doi 10 1109 TSG 2021 3139004 ISSN 1949 3053 S2CID 245557930 Werbos 2006 Using Adaptive Dynamic Programming to Understand and Replicate Brain Intelligence the Next Level Design arXiv q bio 0612045 Claire Christensen Reka Albert 2006 Using graph concepts to understand the organization of complex systems International Journal of Bifurcation and Chaos 17 7 2201 2214 arXiv q bio 0609036 Bibcode 2007IJBC 17 2201C doi 10 1142 S021812740701835X S2CID 9741805 Vito Latora Massimo Marchiori 2002 Economic Small World Behavior in Weighted Networks European Physical Journal B 32 2 249 263 arXiv cond mat 0204089 Bibcode 2003EPJB 32 249L doi 10 1140 epjb e2003 00095 5 S2CID 15430987 Vito Latora Massimo Marchiori 2002 The Architecture of Complex Systems arXiv cond mat 0205649 Balantrapu Satish November 2 2010 Artificial Neural Networks in Microgrid Energy Central Archived from the original on 10 December 2015 Retrieved 8 December 2015 Miao He Sugumar Murugesan Junshan Zhang 2011 Multiple timescale dispatch and scheduling for stochastic reliability in smart grids with wind generation integration 2011 Proceedings IEEE INFOCOM pp 461 465 arXiv 1008 3932 Bibcode 2010arXiv1008 3932H doi 10 1109 INFCOM 2011 5935204 ISBN 978 1 4244 9919 9 S2CID 16846822 Report Smart Grid Market Could Double in Four Years Zpryme Smart Grid Market Archived from the original on 2014 09 06 Retrieved 2009 12 22 U S smart grid to cost billions save trillions Reuters 2011 05 24 Future of Electricity Report Calls for Huge Investments 2015 01 23 Archived from the original on 2016 03 04 Retrieved 2015 01 24 2018 2023 Smart Grid Network Market Current Scenario Major Applications Product Type Key Players amp Regions 2019 03 19 Patrick Mazza 2004 05 21 The Smart Energy Network Electricity s Third Great Revolution PDF Climate Solutions p 2 Retrieved 2008 12 05 L D Kannberg M C Kintner Meyer D P Chassin R G Pratt J G DeSteese L A Schienbein S G Hauser W M Warwick November 2003 GridWise The Benefits of a Transformed Energy System p 25 arXiv nlin 0409035 Smart Grid and Renewable Energy Monitoring Systems SpeakSolar org 3 September 2010 a b Campbell Richard 10 June 2015 Cybersecurity Issues for the Bulk Power System PDF Congressional Research Service Archived from the original PDF on 2015 06 28 Retrieved 17 October 2017 Demertzis K Iliadis L 2018 A Computational Intelligence System Identifying Cyber Attacks on Smart Energy Grids In Daras N Rassias T eds Modern Discrete Mathematics and Analysis Springer Optimization and Its Applications vol 131 Springer Cham a b c Subcommittee Hearing on Blackout Are We Prepared to Manage the Aftermath of a Cyber Attack or Other Failure of the Electrical Grid PDF U S House of Representatives 8 April 2016 Archived from the original PDF on September 7 2016 Retrieved 17 October 2017 a b c d Siddharth Sridhar January 2012 Cyber Physical System Security for the Electric Power Grid Proceedings of the IEEE 100 210 224 doi 10 1109 JPROC 2011 2165269 S2CID 2141030 U S Infrastructure Smart Grid Renewing America Council on Foreign Relations 16 December 2011 Archived from the original on 4 January 2012 Retrieved 20 January 2012 Gorman Siobahn 6 April 2008 Electricity Grid in U S Penetrated by Spies Wall Street Journal Retrieved 20 January 2012 Qin Y Cao X Liang P Hu Q Zhang W Research on the analytic factor neuron model based on cloud generator and its application in oil amp gas SCADA security defense In 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems CCIS 2014 https doi org 10 1109 CCIS 2014 7175721 a b Sector Resilience Report Electric Power Delivery PDF 11 June 2014 Retrieved 17 October 2017 Analysis of the Cyber Attack on the Ukrainian Power Grid PDF 18 March 2016 Retrieved 17 October 2017 a b c d Knake Robert A Cyberattack on the U S Power Grid Council on Foreign Relations Retrieved 2017 10 22 Crash Override The Malware That Took Down a Power Grid WIRED Retrieved 2017 10 19 New Lloyd s study highlights wide ranging implications of cyber attacks www lloyds com 8 July 2015 Retrieved 2017 10 22 permanent dead link a b Transforming the Nation s Electricity System The Second Installment of the Quadrennial Energy Review PDF January 2017 Retrieved 25 September 2017 a b c d Khurana Himanshu Frincke Deborah Liu Ning Hadley Mark https www researchgate net profile Ning Lu4 publication 224110557 Smart Grid Security Issues links 0f31752dab2b75c231000000 pdf Web Accessed on April 8th 2017 Nunez Christina 14 December 2012 Who s Watching Privacy Concerns Persist as Smart Meters Roll Out Archived 2018 03 16 at the Wayback Machine National Geographic nationalgeographic com Retrieved 16 March 2018 Fernando Alvarado Shmuel Oren May 2002 Transmission System Operation and Interconnection PDF National Transmission Grid Study 25 Retrieved 2008 12 01 Rolf Carlson April 2002 Sandia SCADA Program High Security SCADA LDRD Final Report PDF National Transmission Grid Study 15 Retrieved 2008 12 06 Khurana H Hadley M Ning Lu Frincke D A January 2010 Smart grid security issues IEEE Security amp Privacy Magazine 8 1 81 85 doi 10 1109 MSP 2010 49 S2CID 1218073 James Grundvig 2013 04 15 Detecting Power Theft by Sensors and the Cloud Awesense Smart System for the Grid Huffington Post 2 Retrieved 2013 06 05 U S Energy Independence and Security Act of 2007 Archived from the original on 19 December 2015 Retrieved 23 December 2007 DOE Provides up to 51 8 Million to Modernize the U S Electric Grid System Archived 20 September 2008 at the Wayback Machine 27 June 2007 U S Department of Energy DOE Building for the future Interview with Andres Carvallo CIO Austin Energy Utility Next Generation Power and Energy 244 Retrieved 2008 11 26 Betsy Loeff March 2008 AMI Anatomy Core Technologies in Advanced Metering Ultrimetrics Newsletter Betsy Loeff Demanding standards Hydro One aims to leverage AMI via interoperability Archived 2016 01 21 at the Wayback Machine PennWell Corporation Joel Spaes July 3 2020 Harmon Yeu premiere communaute energetique a l Ile d Yeu signee Engie www pv magazine fr Retrieved January 27 2021 Nabil Wakim December 16 2020 A L Ile d Yeu soleil pour tous ou presque www lemonde fr Retrieved January 27 2021 E Energy Project Model City Mannheim MVV Energie 2011 Archived from the original on March 24 2012 Retrieved May 16 2011 Smart Grid Smart City Archived from the original on 2014 09 24 Retrieved 2014 09 29 Evora InovCity Smart Energy Living Archived from the original on 2011 04 24 Retrieved 2011 06 17 Portuguese Smart City E Energy Startseite E energy de Retrieved on 2011 05 14 a b c d e Massachusetts rejects utility s prepayment plan for low income customers The Boston Globe 2009 07 23 EEnergy Vermont Public Service Department Archived from the original on 2014 10 23 Retrieved 2014 10 17 Smart Energy Collective Archived 2018 08 09 at the Wayback Machine Smartenergycollective nl Retrieved on 2011 05 14 Our History EPB epb com Retrieved 2019 03 29 EPB Smart Grid Project www smartgrid gov Retrieved 2019 03 29 Project Information www smartgrid gov Archived from the original on 2019 03 29 Retrieved 2019 03 29 Smart Grid EPB epb com Retrieved 2019 03 29 Enbysk Liz April 20 2011 China Smart Grid Playbook Should we steal a page or two SmartGridNews Archived from the original on November 3 2011 Retrieved December 1 2011 John Jeff February 28 2011 Open Source Smart Grid Goes to China Courtesy of Honeywell Giga Om Archived from the original on October 26 2012 Retrieved December 1 2011 Li Jerry 2009 From Strong to Smart the Chinese Smart Grid and its relation with the Globe AEPN Article No 0018602 Available at Researchgate or the author s personal page Honeywell and Southern California Edison Team up to Curb Electricity Demand The Wall Street Journal March 27 2007 John Jeff November 17 2009 Honeywell s OpenADR Plans for SoCal Edison Greentechgrid Retrieved January 25 2012 Richman Gerald February 23 2010 Smart Grid The Devil Is In the Details New America Foundation Archived from the original on June 12 2010 Retrieved November 29 2011 John Jeff February 2 2012 Balancing Hawaiian Wind Power with Demand Response GreenTechMedia Retrieved March 7 2012 IEEE Standards Association 2030 2011 IEEE Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System EPS and End Use Applications and Loads IEEE Smart Grid Archived from the original on 2012 04 23 Retrieved 2013 01 28 John Jeff February 28 2011 Open Source Smart Grid Goes to China Courtesy of Honeywell GigaOm Archived from the original on October 26 2012 Retrieved April 16 2012 Welcome to IEEE Xplore 2 0 IEEE STD C37 118 2005 Revision of IEEE STD 1344 1995 ieeexplore ieee org Archived from the original on 27 December 2008 Retrieved 12 January 2022 Cisco Outlines Strategy for Highly Secure Smart Grid Infrastructure gt Cisco News Archived 2015 01 28 at the Wayback Machine Newsroom cisco com 2009 05 18 Retrieved on 2011 05 14 DS2 Blog Why the Smart Grid must be based on IP standards Blog ds2 es 2009 05 20 Retrieved on 2011 05 14 IEEE P2030 Official Website IEEE conference drive smart grids Eetimes com 2009 03 19 Retrieved on 2011 05 14 Commerce Secretary Unveils Plan for Smart Grid Interoperability Nist gov Retrieved on 2011 05 14 SGIP Catalog of Standards Archived from the original on 2015 02 24 Retrieved 2009 11 09 Jorge L Contreras Gridlock or Greased Lightning Intellectual Property Government Involvement and the Smart Grid presented at American Intellectual Property Law Assn AIPLA 2011 Annual Meeting Oct 2011 Washington D C Sowers Scott 2017 11 17 California still reigns in grid modernization efforts Daily Energy Insider Retrieved 2017 12 05 Bibliography editHans Glavitsch November 1974 Computer Control of Electric Power Systems Scientific American Vol 231 no 5 Christian Neureiter A Domain Specific Model Driven Engineering Approach For Systems Engineering In The Smart Grid Archived 2018 01 22 at the Wayback Machine MBSE4U 2017 ISBN 978 3981852929External links edit nbsp Wikimedia Commons has media related to Smart grids Smart Grids European Commission Smart Microgrids by Project Regeneration The NIST Smart Grid Collaboration Site Archived 2015 02 24 at the Wayback Machine NIST s public wiki for Smart Grid Emerging Smart Multi Use Grids Multiple use scalable wireless network of networks Video Lecture Computer System Security Technical and Social Challenges in Creating a Trustworthy Power Grid Archived 2011 10 06 at the Wayback Machine University of Illinois at Urbana Champaign Wiley Smart Grid Applications Communications and Security Video Lecture Smart Grid Key to a Sustainable Energy Infrastructure Archived 2011 09 14 at the Wayback Machine University of Illinois at Urbana Champaign Smart High Voltage Substation Based on IEC 61850 Process Bus and IEEE 1588 Time Synchronization Energy To Smart Grid E2SG one of the major European Smart Grid research projects Smart Grid Communication Enabled Intelligence for the Electric Power Grid LIFE Factory Microgrid Archived 2018 10 22 at the Wayback Machine Smart Grid project funded by the European Commission Smart Hubs SLES Smart Grid project part funded by UK Research and Innovation Retrieved from https en wikipedia org w index php title Smart grid amp oldid 1199033451, wikipedia, wiki, book, books, library,

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