Non-cooperative Game Theory-Based Optimization Strategy of P2P Power Usage Quotas Transaction in Communities

With the promotion of electricity market reform and the rapid growth of demand-side load, the community power energy management is facing great pressure of power dispatching. In order to better meet the demand of community electricity, this paper proposed an optimization strategy of community Peer-to-Peer (P2P) power usage quotas (PUQs) based on non-cooperative game, combining with the sharing economy mechanism. Firstly, a P2P transaction model of community PUQs is established with the goal of minimizing the cost. Secondly, the dynamic price mechanism of PUQs is established through the initial PUQs and load demand of the community. Thirdly the non-cooperative game model of community transaction is constructed based on the dynamic price mechanism. Then the existence and uniqueness of Nash equilibrium of the no-cooperative game model is proved. Finally, in order to protect the privacy of the community, the distributed algorithm is used to optimize the solution. Simulation results show that the proposed method can not only improve the community load curve, but also decrease the cost of the community.