Peer-to-peer Market Trading Mechanism and Model for Virtual Power Plant Energy Management

The continuous advancement of power system reform and the increasing improvement of distributed energy penetration have been bringing new opportunities and challenges to the operation of power market and distribution network. In this context, this paper proposes a peer-to-peer(P2P) market trading mechanism and model for the virtual power plant(VPP) energy management. First, in the day-ahead stage, this paper quantifies and decouples the distributed resources of VPP internal prosumers according to the trade flow. Then, a day-ahead prosumer P2P trading framework is built. taking the maximum of the individual benefits of cluster prosumers as the goal, through the interaction of the limited information, the original problem is decomposed into multiple sub iteration solutions, so the P2P electricity trading among prosumers is accomplished. The proposed mechanism and model can effectively relieve the computational pressure borne by VPP, and protect the users' information and privacy. In view of the potential power deviation of VPP in the real-time stage, this paper proposes a multilateral bidding trading mechanism to eliminate the deviation based on the VCG(vickrey-clark-groves) rule. In this way, the safety time of real-time operation can be guaranteed, also the pareto improvement of the system can be realized, and the risk of information exposure of the trading parties is reduced. Finally, an example is given to verify the effectiveness and superiority of the proposed mechanism and model. © 2020, Power System Technology Press. All right reserved.