Knowledge (XXG)

Demand response

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299:, demand response (DR) was defined as: "Changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized." DR includes all intentional modifications to consumption patterns of electricity to induce customers that are intended to alter the timing, level of instantaneous demand, or the total electricity consumption. In 2013, it was expected that demand response programs will be designed to decrease electricity consumption or shift it from on-peak to off-peak periods depending on consumers' preferences and lifestyles. In 2016 demand response was defined as "a wide range of actions which can be taken at the customer side of the electricity meter in response to particular conditions within the electricity system such as peak period network congestion or high prices". In 2010, demand response was defined as a reduction in demand designed to reduce peak demand or avoid system emergencies. It can be a more cost-effective alternative than adding generation capabilities to meet the peak and occasional demand spikes. The underlying objective of DR is to actively engage customers in modifying their consumption in response to pricing signals. The goal is to reflect supply expectations through consumer 696:
features introduce problems in grid stability and efficiency which lead to limitations on the amount of these resources which can be effectively added to the grid. In a traditional vertically integrated grid, energy is provided by utility generators which are able to respond to changes in demand. Generation output by renewable resources is governed by environmental conditions and is generally not able to respond to changes in demand. Responsive control over noncritical loads that are connected to the grid has been shown to be an effective strategy able to mitigate undesirable fluctuations introduced by these renewable resources. In this way instead of the generation responding to changes in demand, the demand responds to changes in generation. This is the basis of demand response. In order to implement demand response systems, coordination of large numbers of distributed resources through sensors, actuators, and communications protocols becomes necessary. To be effective, the devices need to be economical, robust, and yet still effective at managing their tasks of control. In addition, effective control requires a strong capability to coordinate large networks of devices, managing and optimizing these distributed systems from both an economic and a security standpoint.
429:, estimates that a 5 percent reduction in US peak electricity demand could produce approximately $ 35 billion in cost savings over a 20-year period, exclusive of the cost of the metering and communications needed to implement the dynamic pricing needed to achieve these reductions. While the net benefits would be significantly less than the claimed $ 35 billion, they would still be quite substantial. In Ontario, Canada, the Independent Electricity System Operator has noted that in 2006, peak demand exceeded 25,000 megawatts during only 32 system hours (less than 0.4% of the time), while maximum demand during the year was just over 27,000 megawatts. The ability to "shave" peak demand based on reliable commitments would therefore allow the province to reduce built capacity by approximately 2,000 megawatts. 397:
hypothesize that consumers served under these fixed-rate tariffs are endowed with theoretical "call options" on electricity, though in reality, like any other business, the customer is simply buying what is on offer at the agreed price. A customer in a department store buying a $ 10 item at 9.00 am might notice 10 sales staff on the floor but only one occupied serving him or her, while at 3.00 pm the customer could buy the same $ 10 article and notice all 10 sales staff occupied. In a similar manner, the department store cost of sales at 9.00 am might therefore be 5-10 times that of its cost of sales at 3.00 pm, but it would be far-fetched to claim that the customer, by not paying significantly more for the article at 9.00 am than at 3.00 pm, had a 'call option' on the $ 10 article.
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heaters or air conditioning during peak demand; the grid benefits by delaying peak demand (allowing peaking plants time to cycle up or avoiding peak events), and the participant benefits by delaying consumption until after peak demand periods, when pricing should be lower. Although this is an experimental program, at scale these solutions have the potential to reduce peak demand considerably. The success of such programs depends on the development of appropriate technology, a suitable pricing system for electricity, and the cost of the underlying technology. Bonneville Power experimented with direct-control technologies in Washington and Oregon residences, and found that the avoided transmission investment would justify the cost of the technology.
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Electric users pay for this idle capacity through the prices they pay for electricity. According to the Demand Response Smart Grid Coalition, 10%–20% of electricity costs in the United States are due to peak demand during only 100 hours of the year. DR is a way for utilities to reduce the need for large capital expenditures, and thus keep rates lower overall; however, there is an economic limit to such reductions because consumers lose the productive or convenience value of the electricity not consumed. Thus, it is misleading to only look at the cost savings that demand response can produce without also considering what the consumer gives up in the process.
929:. Professor Hogan asserts that the order overcompensates providers of demand response, thereby encouraging the curtailment of electricity whose economic value exceeds the cost of producing it. Professor Hogan further asserts that Order No. 745 is anticompetitive and amounts to "...an application of regulatory authority to enforce a buyer's cartel." Several affected parties, including the State of California, have filed suit in federal court challenging the legality of Order 745. A debate regarding the economic efficiency and fairness of Order 745 appeared in a series of articles published in The Electricity Journal. 401:
most power systems the wholesale price of electricity will be equal to the marginal cost of the highest cost generator that is injecting energy, which will vary with the level of demand. Thus the variation in pricing can be significant: for example, in Ontario between August and September 2006, wholesale prices (in Canadian Dollars) paid to producers ranged from a peak of $ 318 per MW·h to a minimum of - (negative) $ 3.10 per MW·h. It is not unusual for the price to vary by a factor of two to five due to the daily demand cycle. A
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to on-peak, mid-peak and off-peak schedules. During the winter, on-peak is defined as morning and early evening, mid-peak as midday to late afternoon, and off-peak as nighttime; during the summer, the on-peak and mid-peak periods are reversed, reflecting air conditioning as the driver of summer demand. As of May 1, 2015, most Ontario electrical utilities have completed converting all customers to "smart meter" time-of-use billing with on-peak rates about 200% and mid-peak rates about 150% of the off-peak rate per kWh.
221: 1013:, the demand side provides 839 MW (35%) from 89 sites. Of this 839 MW approximately 750 MW is back-up generation with the remaining being load reduction. A paper based on extensive half-hourly demand profiles and observed electricity demand shifting for different commercial and industrial buildings in the UK shows that only a small minority engaged in load shifting and demand turn-down, while the majority of demand response is provided by stand-by generators. 524:) at any given period, and use additional capacity from more expensive plants as demand increases. Demand response in most cases is targeted at reducing peak demand to reduce the risk of potential disturbances, avoid additional capital cost requirements for additional plants, and avoid use of more expensive or less efficient operating plants. Consumers of electricity will also pay higher prices if generation capacity is used from a higher-cost source of power generation. 979: 2990: 3569: 724:, communicate the demand to participating users, automate load shedding, and verify compliance with demand-response programs. GridWise and EnergyWeb are two major federal initiatives in the United States to develop these technologies. Universities and private industry are also doing research and development in this arena. Scalable and comprehensive software solutions for DR enable business and industry growth. 1025: 443: 252:, taking generating units on or off line, or importing power from other utilities. There are limits to what can be achieved on the supply side, because some generating units can take a long time to come up to full power, some units may be very expensive to operate, and demand can at times be greater than the capacity of all the available power plants put together. Demand response, a type of 366: 357:
electricity customers to curtail their consumption when the productivity or convenience of consuming that electricity is worth less to them than paying for the electricity. Ancillary services demand response consists of a number of specialty services that are needed to ensure the secure operation of the transmission grid and which have traditionally been provided by generators.
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the shedding of load, towards a more 24/7-based demand response where the customer sees incentives for controlling load all the time. Although this back-and-forth dialogue increases the opportunities for demand response, customers are still largely influenced by economic incentives and are reluctant to relinquish total control of their assets to utility companies.
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inverter-based generation compared to conventional generation increases, the mechanical inertia used to stabilize frequency decreases. When coupled with the sensitivity of inverter-based generation to transient frequencies, the provision of ancillary services from other sources than generators becomes increasingly important.
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the industrial plants usually already have the infrastructures for control, communication and market participation, which enables the provision of demand response; moreover, some industrial plants such as the aluminum smelter are able to offer fast and accurate adjustments in their power consumption. For example,
921:(FERC) issued Order No. 745 in March 2011, which requires a certain level of compensation for providers of economic demand response that participate in wholesale power markets. The order is highly controversial and has been opposed by a number of energy economists, including Professor William W. Hogan at 549:
Australia has national standards for Demand Response (AS/NZS 4755 series), which has been implemented nationwide by electricity distributors for several decades, e.g. controlling storage water heaters, air conditioners and pool pumps. In 2016, how to manage electrical energy storage (e.g., batteries)
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In virtually all power systems electricity is produced by generators that are dispatched in merit order, i.e., generators with the lowest marginal cost (lowest variable cost of production) are used first, followed by the next cheapest, etc., until the instantaneous electricity demand is satisfied. In
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are structuring the rules of ancillary service markets such that demand response can participate alongside traditional supply-side resources - the available capacity of the generators can be used more efficiently when operated as designed, resulting in lower costs and less pollution. As the ratio of
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applications improve the ability of electricity producers and consumers to communicate with one another and make decisions about how and when to produce and consume electrical power. This emerging technology will allow customers to shift from an event-based demand response where the utility requests
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Energy consumers need some incentive to respond to such a request from a demand response provider. Demand response incentives can be formal or informal. The utility might create a tariff-based incentive by passing along short-term increases in the price of electricity, or they might impose mandatory
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and similar schemes that attempt to shift demand associated with electric heating to overnight off-peak periods have been in operation since the 1970s. More recently, in 2006 Ontario began implementing a "smart meter" program that implements "time-of-use" (TOU) pricing, which tiers pricing according
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Demand response may also be used to increase demand during periods of high supply and low demand. Some types of generating plant must be run at close to full capacity (such as nuclear), while other types may produce at negligible marginal cost (such as wind and solar). Since there is usually limited
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mechanisms to manage customer consumption of electricity in response to supply conditions, for example, having electricity customers reduce their consumption at critical times or in response to market prices. The difference is that demand response mechanisms respond to explicit requests to shut off,
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Commercial and industrial power users might impose load shedding on themselves, without a request from the utility. Some businesses generate their own power and wish to stay within their energy production capacity to avoid buying power from the grid. Some utilities have commercial tariff structures
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Regional Transmission authority, serving 65 million customers in the US with 180 gigawatts of generating capacity. The latter study found that even small shifts in peak demand would have a large effect on savings to consumers and avoided costs for additional peak capacity: a 1% shift in peak demand
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indicates that producers were being charged to provide electricity to the grid (and consumers paying real-time pricing may have actually received a rebate for consuming electricity during this period). This generally occurs at night when demand falls to a level where all generators are operating at
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In many respects, demand response can be put simply as a technology-enabled economic rationing system for electric power supply. In demand response, voluntary rationing is accomplished by price incentives—offering lower net unit pricing in exchange for reduced power consumption in peak periods. The
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Industrial customers are also providing demand response. Compared with commercial and residential loads, industrial loads have the following advantages: the magnitude of power consumption by an industrial manufacturing plant and the change in power it can provide are generally very large; besides,
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Whether the Federal Energy Regulatory Commission reasonably concluded that it has authority under the Federal Power Act, 16 U. S. C. 791a et seq., to regulate the rules used by operators of wholesale electricity markets to pay for reductions in electricity consumption and to recoup those payments
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The modern power grid is making a transition from the traditional vertically integrated utility structures to distributed systems as it begins to integrate higher penetrations of renewable energy generation. These sources of energy are often diffusely distributed and intermittent by nature. These
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to control appliances and equipment and can involve economies of scale. Another advantage, mainly for large customers with generation, is being able to closely monitor, shift, and balance load in a way that allows the customer to save peak load and not only save on kWh and kW/month but be able to
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In an electricity grid, electricity consumption and production must balance at all times; any significant imbalance could cause grid instability or severe voltage fluctuations, and cause failures within the grid. Total generation capacity is therefore sized to correspond to total peak demand with
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may be turned up (turning up to a higher temperature uses less electricity), delaying slightly the draw until a peak in usage has passed. In the city of Toronto, certain residential users can participate in a program (Peaksaver AC) whereby the system operator can automatically control hot water
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One of the most important means of demand response in the future smart grids is electric vehicles. Aggregation of this new source of energy, which is also a new source of uncertainty in the electrical systems, is critical to preserving the stability and quality of smart grids, consequently, the
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has been implemented in some jurisdictions to provide real-time pricing for all types of users, as opposed to fixed-rate pricing throughout the demand period. In this application, users have a direct incentive to reduce their use at high-demand, high-price periods. Many users may not be able to
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Electric Power Supply Association, et al, JOINT REQUEST FOR REHEARING OF THE ELECTRIC POWER SUPPLY ASSOCIATION, THE AMERICAN PUBLIC POWER ASSOCIATION, THE ELECTRIC POWER GENERATION ASSOCIATION AND THE NATIONAL RURAL ELECTRIC COOPERATIVE ASSOCIATION, FERC Docket No. RM10-17-001, April 14, 2011,
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Shedding loads during peak demand is important because it reduces the need for new power plants. To respond to high peak demand, utilities build very capital-intensive power plants and lines. Peak demand happens just a few times a year, so those assets run at a mere fraction of their capacity.
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There are three types of demand response - emergency demand response, economic demand response and ancillary services demand response. Emergency demand response is employed to avoid involuntary service interruptions during times of supply scarcity. Economic demand response is employed to allow
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Current demand response schemes are implemented with large and small commercial as well as residential customers, often through the use of dedicated control systems to shed loads in response to a request by a utility or market price conditions. Services (lights, machines, air conditioning) are
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in short time frames since the consumers do not face the actual price of production; if consumers were to face the short run costs of production they would be more inclined to change their use of electricity in reaction to those price signals. A pure economist might extrapolate the concept to
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Some utilities are considering and testing automated systems connected to industrial, commercial and residential users that can reduce consumption at times of peak demand, essentially delaying draw marginally. Although the amount of demand delayed may be small, the implications for the grid
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Some grids may use pricing mechanisms that are not real-time, but easier to implement (users pay higher prices during the day and lower prices at night, for example) to provide some of the benefits of the demand response mechanism with less demanding technological requirements. In the UK,
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customer to better match the demand for power with the supply. Until the 21st century decrease in the cost of pumped storage and batteries, electric energy could not be easily stored, so utilities have traditionally matched demand and supply by throttling the production rate of their
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L. Liu, W. Miller, and G. Ledwich, "Community centre improvement to reduce air conditioning peak demand," presented at the 7th International Conference on Energy and Environment of Residential Buildings, Queensland University of Technology, Brisbane, Qld, Australia, 2016. Available:
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California Public Utilities Commission, Demand Response Compensation in Organized Wholesale Energy Markets, Docket No. RM10-17-000, Request For Clarification or, in theAlternative, Request for Rehearing of the Public Utilities Commission of the State of California, April 14, 2011.
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In most electric power systems, some or all consumers pay a fixed price per unit of electricity independent of the cost of production at the time of consumption. The consumer price may be established by the government or a regulator, and typically represents an average cost per
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whereas dynamic demand devices passively shut off when stress in the grid is sensed. Demand response can involve actually curtailing power used or by starting on-site generation which may or may not be connected in parallel with the grid. This is a quite different concept from
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is a way to increase load during periods of low demand for use during later periods. Use of demand response to increase load is less common, but may be necessary or efficient in systems where there are large amounts of generating capacity that cannot be easily cycled down.
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capacity to store energy, demand response may attempt to increase load during these periods to maintain grid stability. For example, in the province of Ontario in September 2006, there was a short period of time when electricity prices were negative for certain users.
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Operation is participating in MISO as a qualified demand response resource, and the Trimet Aluminium uses its smelter as a short-term nega-battery. The selection of suitable industries for demand response provision is typically based on an assessment of the so-called
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during peak load periods. Practically speaking, summer heat waves and winter deep freezes might be characterized by planned power outages for consumers and businesses if voluntary rationing via incentives fails to reduce load adequately to match total power supply.
315:, which means using less power to perform the same tasks, on a continuous basis or whenever that task is performed. At the same time, demand response is a component of smart energy demand, which also includes energy efficiency, home and building energy management, 913:
capability has fallen by 32% since 1996. Factors affecting this trend include fewer utilities offering load management services, declining enrollment in existing programs, the changing role and responsibility of utilities, and changing supply/demand balance.
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The customer may adjust power demand by postponing some tasks that require large amounts of electric power, or may decide to pay a higher price for their electricity. Some customers may switch part of their consumption to alternate sources, such as on-site
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cutbacks during a heat wave for selected high-volume users, who are compensated for their participation. Other users may receive a rebate or other incentive based on firm commitments to reduce power during periods of high demand, sometimes referred to as
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load migration within the existing data center capacity during the curtailment hours in CAISO has the potential to reduce 113–239 KtCO 2e per year of GHG emissions and absorb up to 62% of the total curtailment with negative abatement costs in
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Shafie-Khah, Miadreza; Heydarian-Forushani, Ehsan; Osorio, Gerardo J.; Gil, Fabio A. S.; Aghaei, Jamshid; Barani, Mostafa; Catalao, Joao P. S. (2016). "Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents".
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is an electricity intensive process to convert computer hardware infrastructure, software skills and electricity into electronic currency. Bitcoin mining is used to increase the demand during surplus hours by consuming cheaper power.
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for electricity. Since electrical generation and transmission systems are generally sized to correspond to peak demand (plus margin for forecasting error and unforeseen events), lowering peak demand reduces overall plant and
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Hogan, William W., Implications for Consumers of the NOPR's Proposal to Pay the LMP for All Demand Response, Statement submitted on behalf of the Electric Power Supply Association in FERC Docket No. RM10-17-000, May 12,
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Residential and commercial electricity use often vary drastically during the day, and demand response attempts to reduce the variability based on pricing signals. There are three underlying tenets to these programs:
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requirements. Depending on the configuration of generation capacity, however, demand response may also be used to increase demand (load) at times of high production and low demand. Some systems may thereby encourage
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over a given timeframe (for example, a year). Consumption therefore is not sensitive to the cost of production in the short term (e.g. on an hourly basis). In economic terms, consumers' usage of electricity is
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Sianaki, Omid Ameri; Hussain, Omar; Dillon, Tharam; Tabesh, Azadeh Rajabian (2010). "Intelligent Decision Support System for Including Consumers' Preferences in Residential Energy Consumption in Smart Grid".
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setbacks. These can be implemented using customized building automation systems programming, or through swarm-logic methods coordinating multiple loads in a facility (e.g. Encycle's EnviroGrid controllers).
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Similar approach can be implemented for managing air conditioning peak demand in summer peak regions. Pre-cooling or maintaining slightly higher thermostat setting can help with the peak demand reduction.
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direct implication is that users of electric power capacity not reducing usage (load) during peak periods will pay "surge" unit prices, whether directly, or factored into general rates.
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The process may involve turning down or off certain appliances or sinks (and, when demand is unexpectedly low, potentially increasing usage). For example, heating may be turned down or
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reduced according to a preplanned load prioritization scheme during the critical time frames. An alternative to load shedding is on-site generation of electricity to supplement the
909:), 3% of total U.S. peak demand, while actual delivered peak demand reduction was about 9,000 MW (1.3% of peak), leaving ample margin for improvement. It is further estimated that 413:
studies in 2006 looked at the importance of demand response for the electricity industry in general terms and with specific application of real-time pricing for consumers for the
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that set a customer's power costs for the month based on the customer's moment of highest use, or peak demand. This encourages users to flatten their demand for energy, known as
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effectively reduce their demand at various times, or the peak prices may be lower than the level required to induce a change in demand during short time periods (users have low
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in 2000–2001. With consumers facing peak pricing and reducing their demand, the market should become more resilient to intentional withdrawal of offers from the supply side.
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Utilities may signal demand requests to their customers in a variety of ways, including simple off-peak metering, in which power is cheaper at certain times of the day, and
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Electric systems and grids typically scale total potential production to meet projected peak demand (with sufficient spare capacity to deal with unanticipated events).
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N. A. Sinitsyn. S. Kundu, S. Backhaus (2013). "Safe Protocols for Generating Power Pulses with Heterogeneous Populations of Thermostatically Controlled Loads".
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In addition, significant peaks may only occur rarely, such as two or three times per year, requiring significant capital investments to meet infrequent events.
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Liasi, Sahand Ghaseminejad; Bathaee, Seyed Mohammad Taghi (2017). "Optimizing microgrid using demand response and electric vehicles connection to microgrid".
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Motalleb, Mahdi; Thornton, Matsu; Reihani, Ehsan; Ghorbani, Reza (2016). "Providing frequency regulation reserve services using demand response scheduling".
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their minimum output levels and some of them must be shut down. The negative price is the inducement to bring about these shutdowns in a least-cost manner.
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Explanation of demand response effects on a quantity (Q) - price (P) graph. Under inelastic demand (D1) extremely high price (P1) may result on a strained
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concluded that the Federal Energy Regulatory Commission acted within its authority to ensure "just and reasonable" rates in the wholesale energy market.
327:. Under conditions of tight electricity supply, demand response can significantly decrease the peak price and, in general, electricity price volatility. 142: 1241:
Sianaki, O. A.; Masoum, M. A. S. (2013). "A fuzzy TOPSIS approach for home energy management in smart grid with considering householders' preferences".
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trade what they have saved in an energy market. Again, this involves sophisticated energy management systems, incentives, and a viable trading market.
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By "smoothing" demand to reduce peaks, less investment in operational reserve will be required, and existing facilities will operate more frequently.
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would result in savings of 3.9%, billions of dollars at the system level. An approximately 10% reduction in peak demand (achievable depending on the
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Technologies are available, and more are under development, to automate the process of demand response. Such technologies detect the need for
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Whether the Court of Appeals erred in holding that the rule issued by the Federal Energy Regulatory Commission is arbitrary and capricious.
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introduced its own ELRP, where upon an emergency declaration enrolled customers get a credit for lowering their electricity use ($ 1 per
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for grid balance. One of these services is contingency reserve, which is used to regulate the grid frequency in contingencies. Many
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One advantage of a smart grid application is time-based pricing. Customers who traditionally pay a fixed rate for consumed energy (
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Grunewald, P.; J. Torriti (2013). "Demand response from the non-domestic sector: Early UK experiences and future opportunities".
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If demand response measures are employed the demand becomes more elastic (D2). A much lower price will result in the market (P2).
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Unused electrical production facilities represent a less efficient use of capital (little revenue is earned when not operating).
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which will delay or advance the cooling cycle based on monitoring grid frequency but they are not readily available as of 2018.
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is low). Automated control systems exist, which, although effective, may be too expensive to be feasible for some applications.
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Borlick, Robert L., Pricing Negawatts - DR design flaws create perverse incentives, PUBLIC UTILITIES FORTNIGHTLY, August 2010.
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to participate in regional wholesale electricity markets. Market operators submitted initial compliance plans by early 2022.
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data to producers and consumers, but the economic and environmental incentives remain the driving force behind the practice.
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Demand response is generally used to refer to mechanisms used to encourage consumers to reduce demand, thereby reducing the
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The Brattle Group, The Power of Five Percent, How Dynamic Pricing Can Save $ 35 Billion in Electricity Costs, May 16, 2007.
1368: 3474: 3406: 3396: 3272: 3172: 2827: 2253:; Kolter, Z.; Harjunkoski, I. (2015-10-01). "Industrial demand response by steel plants with spinning reserve provision". 1125: 1010: 803: 517: 379: 743:
Other methods to implementing demand response approach the issue of subtly reducing duty cycles rather than implementing
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or by agreements with specific high-use industrial consumers to turn off equipment at times of system-wide peak demand.
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Video about the demand response of electrical devices in a house combined with an electric vehicle. These are part of a
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It is estimated that a 5% lowering of demand would have resulted in a 50% price reduction during the peak hours of the
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can set their threshold and adjust their usage to take advantage of fluctuating prices. This may require the use of an
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Giordano V.; Meletiou, A.; Covrig, C. F.; Mengolini, A.; Ardelean, M.; Fulli, G; Jiménez, M. S.; Filiou, C. (2013).
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are located far apart for redundancy and can migrate loads between them, while also performing demand response.
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It is estimated that a 5% lowering of demand would result in a 50% price reduction during the peak hours of the
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in 2000/2001. The market also becomes more resilient to intentional withdrawal of offers from the supply side.
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The report estimates that in 2004 potential demand response capability equaled about 20,500 megawatts (
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Balijepalli, Murthy; Pradhan, Khaparde (2011). "Review of Demand Response under Smart Grid Paradigm".
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Robert Borlick, Paying For Demand Response at the Wholesale Level: The Small Consumer's Perspective,
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As of December 2009 National Grid had 2369 MW contracted to provide demand response, known as
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Albadi, M. H.; El-Saadany, E. F. (2007). "Demand Response in Electricity Markets: An Overview".
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may contain an excessive amount of intricate detail that may interest only a particular audience
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Demand-Side Management Technology Avoids Grid Construction for Bonneville Power (Case Study)
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2010 Second International Conference on Computational Intelligence, Modelling and Simulation
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Benefits of demand response in electricity markets and recommendations for achieving them
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2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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Please help update this article to reflect recent events or newly available information.
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electric vehicle parking lots can be considered a demand response aggregation entity.
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To encourage the use and implementation of demand response in the United States, the
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In 2008 it was announced that electric refrigerators will be sold in the UK sensing
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Smart grid applications increase the opportunities for demand response by providing
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The Power to Choose - Enhancing Demand Response in Liberalised Electricity Markets
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Constantine Gonatas, Areas of Congruence, Yes, But 'Pseudo-Agreement' on LMP,
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Demand reduction and the use of diesel generators in the British National Grid
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This article is about the electrical concept. For the transport concept, see
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On January 25, 2016, the United States Supreme Court in a 6-2 decision in
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Daily load diagram; Blue shows real load usage and green shows ideal load.
232: 3147: 1991:"A nascent market for contingency reserve services using demand response" 1989:
Motalleb, Mahdi; Thornton, Matsu; Reihani, Ehsan; Ghorbani, Reza (2016).
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happens (generation capacity falls below the load), utilities may impose
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or controls and enable dynamic changes in consumption relative to price.
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Reihani, Ehsan; Thornton, Matsu; Reihani, Ehsan; Ghorbani, Reza (2016).
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Siano, Pierluigi (2014). "Demand response and smart grids - A survey".
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agreed to review the DC Circuit's ruling, addressing two questions:
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Application for intermittent renewable distributed energy resources
422:) would result in systems savings of between $ 8 and $ 28 billion. 2635:
https://www.supremecourt.gov/orders/courtorders/050415zor_7648.pdf
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Jonathan Falk, Paying For Demand Response at the Wholesale Level,
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Liasi, Sahand Ghaseminejad; Golkar, Masoud Aliakbar (2017-12-18).
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2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT)
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A review and analysis of electric utility conservation incentives
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generation drives a greater need for authorities to procure more
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between periods of low and high demand (or low and high prices).
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Techniques used to prevent power networks from being overwhelmed
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FERC issued its Order No. 2222 on September 17, 2020, enabling
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Zheng, Jiajia; Chien, Andrew A.; Suh, Sangwon (October 2020).
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Please help by removing excessive detail that may be against
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Involuntary rationing, if employed, would be accomplished via
2298:(2014). "Optimal regulation provision by aluminum smelters". 1780:"Description of French EJP tariff - Claverton Energy Group" 1136:
Relative cost of electricity generated by different sources
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In a discussion paper, Ahmad Faruqui, a principal with the
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2014 IEEE PES General Meeting: Conference & Exposition
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Berger, Lars T.; Iniewski, Krzysztof, eds. (April 2012).
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2017 Iranian Conference on Electrical Engineering (ICEE)
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vacated Order 745 in its entirety. On May 4, 2015, the
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Smart Grid - Applicacions, Communications and Security
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the demand for power instead of adjusting the supply.
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Calculating the cost of the UK transmission network:
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2007 IEEE Power Engineering Society General Meeting
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Importance for the operation of electricity markets
1712: 1710: 1507:"Description of the two types of demand response" 1358:Description of French EJP demand reduction tariff 1096:Energy use and conservation in the United Kingdom 507:The upper reservoir (Llyn Stwlan) and dam of the 1742:. U.S. Government Printing Office. p. 122. 1736:United States. Federal Power Commission (1967). 851:Specifically, this is not a US specific article 789:Short-term inconvenience for long-term benefits 828:US Energy Policy Act regarding demand response 2835: 2594:, November 2011, Vol. 24, Issue 9, pp. 13-19. 2581:, November 2010, Vol. 23, Issue 9, pp. 13-18. 2183:"Is Smart Energy Poised to Swarm California?" 550:has been added into the series of standards. 201: 8: 2607:, Jan./Feb. 2012, Vol. 25, Issue 1, pp. 1-4 1284:Peak Energy Demand and Demand Side Response 1187:IEEE PES Innovative Smart Grid Technologies 574:) on service areas via targeted blackouts, 471:. Unsourced material may be challenged and 243:is a change in the power consumption of an 3001: 2842: 2828: 2820: 2764:Mark Duffield (2009). Dave Andrews (ed.). 2255:2015 North American Power Symposium (NAPS) 1533:Demand Response Project, Presentation 2003 433:Electricity grids and peak demand response 208: 194: 36: 2419: 2080: 2014: 1973: 1719:"A megawatt saved is a 'negawatt' earned" 1432: 1430: 875:Learn how and when to remove this message 491:Learn how and when to remove this message 2385:"Storing Power in Molten Aluminum Lakes" 2165:"Smart Grid: Taking our cue from nature" 1842:Renewable and Sustainable Energy Reviews 1796:Stoft, Steven, and Richard J. Gilbert. " 1091:Energy security and renewable technology 1048:estimating costs per kWh of transmission 635: 1152: 945:through adjustments to wholesale rates. 699:In addition, the increased presence of 516:some margin of error and allowance for 306:In electricity grids, DR is similar to 141: 103: 55: 48: 2676:: CS1 maint: archived copy as title ( 2669: 1820:California Public Utilities Commission 2522:Report to the Congress, February 2006 1075:Economics of new nuclear power plants 1052:Calculating the cost of back up: See 7: 1066:- Demand response without smart grid 919:Federal Energy Regulatory Commission 469:adding citations to reliable sources 297:Federal Energy Regulatory Commission 2618:Electric Power Supply Ass'n v. FERC 1553:"Monthly Market Report - July 2006" 955:FERC v. Electric Power Supply Ass'n 3520:Renewable energy commercialization 1812:"Emergency Load Reduction Program" 857:Knowledge (XXG)'s inclusion policy 25: 2220:http://eprints.qut.edu.au/101161/ 1717:Tyler Hamilton (August 6, 2007). 1486:"Bitcoin electricity consumption" 716:Technologies for demand reduction 319:, and electric vehicle charging. 143:Electric power systems components 3568: 3567: 2988: 2068:Energy Conversion and Management 2032:Energy Conversion and Management 1884:JRC Scientific and Policy Report 1800:." Yale J. on Reg. 11 (1994): 1. 1616:2017 Smart Grid Conference (SGC) 1023: 977: 836: 568:emergency load reduction program 509:Ffestiniog Pumped Storage Scheme 441: 295:As of 2011, according to the US 2535:. 15 March 2011. Archived from 1915:IEEE Transactions on Smart Grid 1403:10.1109/IranianCEE.2017.7985237 534:pumped-storage hydroelectricity 317:distributed renewable resources 2490:"How Smart Is The Smart Grid?" 2099:10.1016/j.enconman.2012.11.021 2052:10.1016/j.enconman.2016.07.049 2016:10.1016/j.apenergy.2016.07.078 1975:10.1016/j.apenergy.2016.08.170 1: 3515:Renewable Energy Certificates 3475:Cost of electricity by source 3397:Arc-fault circuit interrupter 3273:High-voltage shore connection 1681:"CEIC Working Paper Abstract" 1656:"CEIC Working Paper Abstract" 1509:. 2 June 2011. Archived from 1126:National Grid Reserve Service 934:D.C. Circuit Court of Appeals 804:California electricity crisis 380:California electricity crisis 105:Electric power infrastructure 3530:Spark/Dark/Quark/Bark spread 3328:Transmission system operator 3288:Mains electricity by country 2865:Automatic generation control 1059:Control of the National Grid 963:distributed energy resources 709:independent system operators 3555:List of electricity sectors 3550:Electric energy consumption 3268:High-voltage direct current 3243:Electric power transmission 3233:Electric power distribution 2910:Energy return on investment 2811:10.1016/j.enpol.2013.06.051 2464:10.1016/j.joule.2020.08.001 1101:High-voltage direct current 938:United States Supreme Court 32:Demand responsive transport 3620: 3470:Carbon offsets and credits 3188:Three-phase electric power 2625: (D.C. Cir. 2014). 2402:Praktiknjo, Aaron (2016). 2308:10.1109/PESGM.2014.6939343 1862:10.1016/j.rser.2013.10.022 1131:Northeast blackout of 2003 1106:Intermittent energy source 29: 3563: 3525:Renewable Energy Payments 3014:Fossil fuel power station 2986: 2353:10.1109/ISGT.2015.7131854 2263:10.1109/NAPS.2015.7335115 1251:10.1109/ISGT.2013.6497819 986:This section needs to be 892:Energy Policy Act of 2005 71:Electric power conversion 57:Electric power conversion 3308:Single-wire earth return 3248:Electrical busbar system 2905:Energy demand management 1927:10.1109/TSG.2015.2496796 1739:Report of the commission 1624:10.1109/SGC.2017.8308873 1282:Torriti, Jacopo (2016). 673:energy management system 611:energy demand management 593:(the term was coined by 582:Incentives to shed loads 254:energy demand management 224:A clothes dryer using a 3439:Residual-current device 3429:Power system protection 3419:Generator interlock kit 2605:The Electricity Journal 2592:The Electricity Journal 2579:The Electricity Journal 1762:"What is Load Shedding" 1584:"Monthly Market Report" 1443:. John Wiley and Sons. 1210:10.1109/PES.2007.385728 1141:Energy Reduction Assets 605:in 2021, $ 2 in 2022). 597:in 1985). For example, 3223:Distributed generation 2895:Electric power quality 2720:www.greentechmedia.com 1397:. pp. 1272–1277. 1318:10.1109/CIMSiM.2010.84 1077:(for cost comparisons) 653: 632:Smart grid application 512: 383: 237: 229: 226:demand response switch 76:HVDC converter station 3599:Electricity economics 3495:Fossil fuel phase-out 3263:Electricity retailing 3258:Electrical substation 3238:Electric power system 1111:List of power outages 932:On May 23, 2014, the 647: 506: 368: 256:, seeks to adjust in 235: 228:to reduce peak demand 223: 114:Electric power system 2851:Electricity delivery 2623:753 F.3d 216 2236:claverton-energy.com 2181:Katie Fehrenbacher. 1312:. pp. 154–159. 1064:Dynamic demand power 763:Industrial customers 626:elasticity of demand 465:improve this section 420:elasticity of demand 3460:Availability factor 3412:Sulfur hexafluoride 3293:Overhead power line 3193:Virtual power plant 3168:Induction generator 3121:Sustainable biofuel 2930:Home energy storage 2920:Grid energy storage 2885:Droop speed control 2803:2013EnPol..61..423G 2456:2020Joule...4.2208Z 2391:. 26 November 2014. 2091:2013ECM....67..297S 2044:2016ECM...124..439M 2007:2016ApEn..179..985M 1966:2016ApEn..183..445R 1854:2014RSERv..30..461S 1081:Energy conservation 896:Secretary of Energy 415:PJM Interconnection 361:Electricity pricing 3334:Transmission tower 2945:Nameplate capacity 2512:2006-09-22 at the 2150:2007-04-18 at the 923:Harvard University 779:value of lost load 705:ancillary services 701:variable renewable 654: 513: 389:unit of production 384: 371:electricity market 238: 230: 86:DC-to-DC converter 81:AC-to-AC converter 3581: 3580: 3485:Environmental tax 3365:Cascading failure 3134: 3133: 2970:Utility frequency 2450:(10): 2208–2222. 2421:10.3390/en9020116 2362:978-1-4799-1785-3 2317:978-1-4799-6415-4 2272:978-1-4673-7389-0 1768:on April 9, 2008. 1633:978-1-5386-4279-5 1450:978-1-1180-0439-5 1412:978-1-5090-5963-8 1335:978-1-4244-8652-6 1326:20.500.11937/4974 1260:978-1-4673-4896-6 1219:978-1-4244-1296-9 1007: 1006: 898:to submit to the 894:has mandated the 885: 884: 877: 645: 622:price sensitivity 576:rolling blackouts 501: 500: 493: 313:energy efficiency 284:rolling blackouts 218: 217: 157:Grid-tie inverter 66:Voltage converter 50:Power engineering 16:(Redirected from 3611: 3571: 3570: 3480:Energy subsidies 3434:Protective relay 3375:Rolling blackout 3002: 2992: 2960:Power-flow study 2900:Electrical fault 2844: 2837: 2830: 2821: 2815: 2814: 2786: 2780: 2779: 2777: 2776: 2770:Claverton Energy 2761: 2755: 2754: 2752: 2751: 2736: 2730: 2729: 2727: 2726: 2712: 2706: 2705: 2703: 2702: 2688: 2682: 2681: 2675: 2667: 2665: 2664: 2658: 2652:. 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2731: 2707: 2683: 2638: 2627: 2609: 2596: 2583: 2570: 2560: 2550: 2524: 2499: 2496:. 7 July 2010. 2481: 2427: 2394: 2376: 2361: 2331: 2316: 2286: 2271: 2241: 2223: 2210: 2196: 2193:on 2009-02-21. 2173: 2156: 2137: 2112: 2057: 2022: 1995:Applied Energy 1981: 1954:Applied Energy 1940: 1904: 1867: 1832: 1802: 1789: 1771: 1753: 1728: 1706: 1697: 1672: 1647: 1632: 1606: 1575: 1544: 1535: 1516: 1513:on 2011-08-19. 1498: 1477: 1456: 1449: 1426: 1411: 1385: 1360: 1349: 1334: 1299: 1292: 1274: 1259: 1233: 1218: 1192: 1177: 1151: 1149: 1146: 1144: 1143: 1138: 1133: 1128: 1123: 1118: 1113: 1108: 1103: 1098: 1093: 1088: 1083: 1078: 1072: 1067: 1061: 1056: 1050: 1044: 1036: 1035: 1034: 1018: 1015: 1005: 1004: 985: 983: 976: 970: 967: 950: 949: 946: 927:Kennedy School 883: 882: 844: 842: 835: 829: 826: 822: 821: 818: 815: 799: 796: 790: 787: 764: 761: 757:dynamic demand 717: 714: 692: 689: 633: 630: 617:Smart metering 583: 580: 555: 552: 530:Energy storage 511:in north Wales 499: 498: 449: 447: 440: 434: 431: 403:negative price 362: 359: 350:Bitcoin mining 342:energy storage 308:dynamic demand 292: 289: 265:smart metering 216: 215: 213: 212: 205: 198: 190: 187: 186: 185: 184: 179: 174: 169: 164: 162:Energy storage 159: 154: 152:Ring main unit 146: 145: 139: 138: 137: 136: 131: 129:Interconnector 126: 121: 116: 108: 107: 101: 100: 99: 98: 93: 88: 83: 78: 73: 68: 60: 59: 53: 52: 46: 45: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 3616: 3605: 3602: 3600: 3597: 3595: 3592: 3591: 3589: 3574: 3566: 3565: 3562: 3556: 3553: 3551: 3548: 3547: 3545: 3537: 3531: 3528: 3526: 3523: 3521: 3518: 3516: 3513: 3511: 3510:Pigouvian tax 3508: 3506: 3503: 3501: 3498: 3496: 3493: 3491: 3488: 3486: 3483: 3481: 3478: 3476: 3473: 3471: 3468: 3466: 3463: 3461: 3458: 3457: 3455: 3447: 3440: 3437: 3435: 3432: 3430: 3427: 3425: 3422: 3420: 3417: 3413: 3410: 3408: 3407:Earth-leakage 3405: 3404: 3403: 3400: 3398: 3395: 3394: 3392: 3384: 3376: 3373: 3372: 3371: 3368: 3366: 3363: 3361: 3358: 3356: 3353: 3352: 3350: 3348:Failure modes 3346: 3340: 3337: 3335: 3332: 3329: 3326: 3324: 3321: 3319: 3316: 3314: 3311: 3309: 3306: 3304: 3301: 3299: 3298:Power station 3296: 3294: 3291: 3289: 3286: 3284: 3281: 3279: 3276: 3274: 3271: 3269: 3266: 3264: 3261: 3259: 3256: 3254: 3251: 3249: 3246: 3244: 3241: 3239: 3236: 3234: 3231: 3229: 3226: 3224: 3221: 3219: 3216: 3215: 3213: 3210: 3205: 3200: 3194: 3191: 3189: 3186: 3184: 3183:Rankine cycle 3181: 3179: 3176: 3174: 3171: 3169: 3166: 3164: 3163:Cooling tower 3161: 3159: 3156: 3154: 3151: 3149: 3146: 3145: 3143: 3141: 3137: 3127: 3124: 3122: 3119: 3117: 3114: 3110: 3107: 3105: 3102: 3100: 3097: 3095: 3092: 3090: 3087: 3086: 3085: 3082: 3080: 3077: 3075: 3072: 3070: 3067: 3065: 3062: 3060: 3057: 3056: 3054: 3052: 3048: 3042: 3039: 3035: 3032: 3030: 3027: 3025: 3022: 3020: 3017: 3016: 3015: 3012: 3011: 3009: 3007: 3006:Non-renewable 3003: 3000: 2996: 2991: 2981: 2978: 2976: 2973: 2971: 2968: 2966: 2963: 2961: 2958: 2956: 2953: 2951: 2948: 2946: 2943: 2941: 2938: 2936: 2933: 2931: 2928: 2926: 2925:Grid strength 2923: 2921: 2918: 2916: 2913: 2911: 2908: 2906: 2903: 2901: 2898: 2896: 2893: 2891: 2888: 2886: 2883: 2881: 2880:Demand factor 2878: 2876: 2873: 2871: 2868: 2866: 2863: 2862: 2860: 2856: 2852: 2845: 2840: 2838: 2833: 2831: 2826: 2825: 2822: 2812: 2808: 2804: 2800: 2796: 2792: 2791:Energy Policy 2785: 2782: 2771: 2767: 2760: 2757: 2745: 2741: 2735: 2732: 2721: 2717: 2711: 2708: 2697: 2693: 2687: 2684: 2679: 2673: 2659:on 2017-02-05 2655: 2648: 2642: 2639: 2636: 2631: 2628: 2624: 2619: 2613: 2610: 2606: 2600: 2597: 2593: 2587: 2584: 2580: 2574: 2571: 2564: 2561: 2554: 2551: 2538: 2534: 2528: 2525: 2521: 2518: 2517:United States 2515: 2511: 2508: 2503: 2500: 2495: 2491: 2485: 2482: 2478: 2473: 2469: 2465: 2461: 2457: 2453: 2449: 2445: 2438: 2431: 2428: 2422: 2417: 2413: 2409: 2405: 2398: 2395: 2390: 2389:Bloomberg.com 2386: 2380: 2377: 2372: 2368: 2364: 2358: 2354: 2350: 2346: 2342: 2335: 2332: 2327: 2323: 2319: 2313: 2309: 2305: 2301: 2297: 2290: 2287: 2282: 2278: 2274: 2268: 2264: 2260: 2256: 2252: 2249:Zhang, Xiao; 2245: 2242: 2237: 2233: 2227: 2224: 2221: 2214: 2211: 2206: 2200: 2197: 2192: 2188: 2184: 2177: 2174: 2166: 2160: 2157: 2153: 2149: 2146: 2141: 2138: 2127:on 2008-11-19 2126: 2122: 2116: 2113: 2108: 2104: 2100: 2096: 2092: 2088: 2083: 2078: 2074: 2070: 2069: 2061: 2058: 2053: 2049: 2045: 2041: 2037: 2033: 2026: 2023: 2017: 2012: 2008: 2004: 2000: 1996: 1992: 1985: 1982: 1976: 1971: 1967: 1963: 1959: 1955: 1951: 1944: 1941: 1936: 1932: 1928: 1924: 1920: 1916: 1908: 1905: 1889: 1885: 1878: 1871: 1868: 1863: 1859: 1855: 1851: 1847: 1843: 1836: 1833: 1821: 1817: 1813: 1806: 1803: 1799: 1793: 1790: 1785: 1781: 1775: 1772: 1767: 1763: 1757: 1754: 1749: 1745: 1741: 1740: 1732: 1729: 1724: 1720: 1713: 1711: 1707: 1701: 1698: 1687:on 2007-06-11 1686: 1682: 1676: 1673: 1662:on 2007-06-11 1661: 1657: 1651: 1648: 1643: 1639: 1635: 1629: 1625: 1621: 1617: 1610: 1607: 1596:on 2007-03-24 1592: 1585: 1579: 1576: 1565:on 2007-03-24 1561: 1554: 1548: 1545: 1539: 1536: 1532: 1528: 1523: 1521: 1517: 1512: 1508: 1502: 1499: 1487: 1481: 1478: 1466: 1460: 1457: 1452: 1446: 1442: 1441: 1433: 1431: 1427: 1422: 1418: 1414: 1408: 1404: 1400: 1396: 1389: 1386: 1375:on 2010-02-17 1374: 1370: 1364: 1361: 1357: 1353: 1350: 1345: 1341: 1337: 1331: 1327: 1323: 1319: 1315: 1311: 1303: 1300: 1295: 1293:9781138016255 1289: 1286:. Routledge. 1285: 1278: 1275: 1270: 1266: 1262: 1256: 1252: 1248: 1244: 1237: 1234: 1229: 1225: 1221: 1215: 1211: 1207: 1203: 1196: 1193: 1188: 1181: 1178: 1166: 1162: 1156: 1153: 1147: 1142: 1139: 1137: 1134: 1132: 1129: 1127: 1124: 1122: 1119: 1117: 1114: 1112: 1109: 1107: 1104: 1102: 1099: 1097: 1094: 1092: 1089: 1087: 1084: 1082: 1079: 1076: 1073: 1071: 1068: 1065: 1062: 1060: 1057: 1055: 1051: 1049: 1045: 1043: 1042: 1041:Brittle Power 1038: 1037: 1032: 1031:Energy portal 1026: 1021: 1016: 1014: 1012: 1001: 989: 984: 975: 974: 968: 966: 964: 959: 957: 956: 947: 943: 942: 941: 939: 935: 930: 928: 924: 920: 915: 912: 908: 903: 901: 897: 893: 890: 889:United States 879: 876: 868: 858: 852: 848: 845:This section 843: 834: 833: 827: 825: 819: 816: 813: 812: 811: 807: 805: 797: 795: 788: 786: 784: 780: 775: 771: 762: 760: 758: 753: 749: 746: 741: 738: 737:refrigeration 734: 729: 725: 723: 722:load shedding 715: 713: 710: 706: 702: 697: 690: 688: 684: 682: 677: 674: 670: 666: 661: 658: 651: 631: 629: 627: 623: 618: 614: 612: 606: 604: 600: 596: 592: 591: 581: 579: 577: 573: 569: 565: 564:load shedding 561: 554:Load shedding 553: 551: 547: 544: 538: 535: 531: 525: 523: 522:marginal cost 519: 518:contingencies 510: 505: 495: 492: 484: 474: 470: 466: 460: 459: 455: 450:This section 448: 444: 439: 438: 432: 430: 428: 427:Brattle Group 423: 421: 416: 412: 407: 404: 398: 395: 390: 381: 372: 367: 360: 358: 354: 351: 347: 343: 338: 333: 328: 326: 320: 318: 314: 309: 304: 302: 301:price signals 298: 290: 288: 285: 280: 276: 274: 268: 266: 261: 259: 255: 251: 246: 242: 234: 227: 222: 211: 206: 204: 199: 197: 192: 191: 189: 188: 183: 180: 178: 175: 173: 170: 168: 165: 163: 160: 158: 155: 153: 150: 149: 148: 147: 144: 140: 135: 132: 130: 127: 125: 122: 120: 119:Power station 117: 115: 112: 111: 110: 109: 106: 102: 97: 94: 92: 89: 87: 84: 82: 79: 77: 74: 72: 69: 67: 64: 63: 62: 61: 58: 54: 51: 47: 43: 39: 38: 33: 19: 18:Load shedding 3505:Net metering 3452:and policies 3370:Power outage 3339:Utility pole 3303:Pumped hydro 3217: 3209:distribution 3204:Transmission 3153:Cogeneration 2955:Power factor 2794: 2790: 2784: 2773:. 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Index

Load shedding
Demand responsive transport
a series
Power engineering
Electric power conversion
Voltage converter
Electric power conversion
HVDC converter station
AC-to-AC converter
DC-to-DC converter
Rectifier
Inverter
Electric power infrastructure
Electric power system
Power station
Electrical grid
Interconnector
Demand response
Electric power systems components
Ring main unit
Grid-tie inverter
Energy storage
Busbar
Bus duct
Recloser
Protective relay
v
t
e

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