Integration of highly volatile wind generation causes reliability and grid issues for system operator (SO). Plug-in electric vehicles (PEVs) are mobile distributed source of active power that provides opportunity to u...
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Integration of highly volatile wind generation causes reliability and grid issues for system operator (SO). Plug-in electric vehicles (PEVs) are mobile distributed source of active power that provides opportunity to use their battery storage for wind integration. The coordinated integration of wind volatility and PEVs fleet is studied under security-constrainedunitcommitment (SCUC) model. In this regard, a stochastic SCUC with PEVs considering wind integration and line contingency is proposed. Wind volatility and PEVs driving behavior uncertainty is modeled through Monte Carlo simulations (MCS) of large number of scenarios with associated probabilities. This scenario has been reduced by Kantorovich distance (KD) matrix-based backward reduction technique. Moreover, pre-line and post-line contingency AC optimal power flow is used for network constraints in SCUC (AC SCUC). Due to consideration of N-1 security criteria and wind power scenarios, the proposed model is mixed integer nonlinear programming (MINLP), which is computationally heavy and is thus solved by a two-stage programming Benders decomposition (BD) approach. Different case studies are examined on modified IEEE reliability test system (RTS). Comparative analysis explores the impact on overall operational costs, PEV cost, wind curtailment, and locational marginal price (LMP) for congestion management. Simulation results validate that the proposed model is technoeconomically suitable for large-scale wind power penetration.
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.
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