Peer-to-Peer Energy Trading Method of Multi-Virtual Power Plants Based on Non-Cooperative Game

The current electricity market fails to consider the energy consumption characteristics of transaction subjects such as virtual power plants. Besides, game relationship between needs be further explored. This paper proposes a Peer-to-Peer trading method for multi-virtual plants based on non-cooperative game. Firstly, coordinated control model public buildings is incorporated into scheduling framework plant, considering users. Secondly, utility functions multiple are analyzed, and established explore sellers in process. Finally, influence user plant operation process analyzed by case studies. Furthermore, effect different parameters Nash equilibrium point explored, factors transactions summarized. According obtained results, compared with central air conditioning set constant temperature strategy, flexible strategy proposed this improves each VPP overall revenue VPPs. In addition, upper limit service quotation operator have great impact mode When decreases gradually, P2P VPPs more likely occur.