With liberalizing electricity market, consumers are incurred more electricity price volatilities. Accordingly, they may present parts of their demand as responsive loads (RLs) with the purpose of reducing the prices a...
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ISBN:
(纸本)9781467327299
With liberalizing electricity market, consumers are incurred more electricity price volatilities. Accordingly, they may present parts of their demand as responsive loads (RLs) with the purpose of reducing the prices and providing favorable reliability level for the system. RLs are identified as resources from demand-side which can participate in reliability-triggered events and/or ancillary services by different demand response (DR) programs. In this paper, RLs take part in Emergency Demand Response Programs (EDRPs) during reliability-triggered events while Demand-Side Ancillary Services Programs (DSASPs) are implemented along with spinning and non-spinning reserves from generation-side to satisfy the system security constraints economically. The Reserve procurement from both sides is carried out by risk curve formed for each bus of system base on the credibility and expected consequences of contingencies and also the responding rate of reserve resources in a short-term stochastic security-constrained unit commitment (SCUC) model. The RBTS and IEEE-RTS are considered to illustrate the effects of participating RLs in the joint energy and reserve market.
With liberalizing electricity market, consumers are incurred more electricity price volatilities. Accordingly, they may present parts of their demand as responsive loads (RLs) with the purpose of reducing the prices a...
详细信息
ISBN:
(纸本)9781467327275
With liberalizing electricity market, consumers are incurred more electricity price volatilities. Accordingly, they may present parts of their demand as responsive loads (RLs) with the purpose of reducing the prices and providing favorable reliability level for the system. RLs are identified as resources from demand-side which can participate in reliability-triggered events and/or ancillary services by different demand response (DR) programs. In this paper, RLs take part in Emergency Demand Response Programs (EDRPs) during reliability-triggered events while Demand-Side Ancillary Services Programs (DSASPs) are implemented along with spinning and non-spinning reserves from generation-side to satisfy the system security constraints economically. The Reserve procurement from both sides is carried out by risk curve formed for each bus of system base on the credibility and expected consequences of contingencies and also the responding rate of reserve resources in a short-term stochastic security-constrained unit commitment (SCUC) model. The RBTS and IEEE-RTS are considered to illustrate the effects of participating RLs in the joint energy and reserve market.
Considerable developments in the real-time telemetry of demand-side systems allow independent system operators (ISOs) to use reserves provided by demand response (DR) in ancillary service markets. Currently, many ISOs...
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Considerable developments in the real-time telemetry of demand-side systems allow independent system operators (ISOs) to use reserves provided by demand response (DR) in ancillary service markets. Currently, many ISOs have designed programs to utilize the reserve provided by DR in electricity markets. This paper presents a stochastic model to schedule reserves provided by DR in the wholesale electricity markets. Demand-side reserve is supplied by demand response providers (DRPs), which have the responsibility of aggregating and managing customer responses. A mixed-integer representation of reserve provided by DRPs and its associated cost function are used in the proposed stochastic model. The proposed stochastic model is formulated as a two-stage stochastic mixed-integer programming (SMIP) problem. The first-stage involves network-constrainedunitcommitment in the base case and the second-stage investigates security assurance in system scenarios. The proposed model would schedule reserves provided by DRPs and determine commitment states of generating units and their scheduled energy and spinning reserves in the scheduling horizon. The proposed approach is applied to two test systems to illustrate the benefits of implementing demand-side reserve in electricity markets.
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