Peer-to-Peer Energy Trading Between Wind Power Producer and Demand Response Aggregators for Scheduling Joint Energy and Reserve

In this article, a stochastic decision-making framework is presented in which wind power producer (WPP) provides some required reserve capacity from demand response aggregators (DRAs) peer-to-peer (P2P) structure. structure, each DRA able to choose the most competitive WPP, and purchase energy sell that WPP under bilateral contract-based P2P electricity trading mechanism. Based on can determine optimal buying DRAs offset part of deviation. The proposed formulated as bilevel model upper level maximizes WPP's profit based bidding day-ahead balancing markets, whereas lower minimizes DRAs' costs. order incorporate risk associated with decisions assess effect scheduling reserves variability, conditional value at employed.