Optimal demand response bidding and pricing mechanism with fuzzy optimization: Application for a virtual power plant
作者： Nemer A. Amleh , Ali T. Al Awami
关键词:
摘要: In this paper, a virtual power plant (VPP) that consists of generation and controllable demand is enabled to participate in the wholesale market. VPP makes renewable energy sources (RES) distributed generations (DGs) observable system operator. The main objective introduce scheme optimizes bidding strategies maximizes VPP's profit on day-ahead basis. To achieve goal, trades externally with market, response (DR) internally consumers its territory. That is, when exceeds demand, sells excess it buys from market reduction due DR are less than required Fuzzy optimization proposed work consider uncertainty RES.
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