Distributed Coordinated Optimal Dispatch of Multiple Virtual Power Plants under Non-cooperative Game Theory

Aiming at the problem of multiple virtual power plants with many power regulation resources and high computational difficulty, as well as the power interaction and competition between different virtual power plants, this study proposes a distributed coordinated optimal dispatch strategy for multiple virtual power plants under non-cooperative game theory. The strategy considers the power fluctuation of photovoltaic(PV) units and the difficulty of load prediction, and applies the distributed model predictive control(DMPC) to the coordinated optimal dispatch of multiple virtual power plants. In addition, a non-cooperative game model of multiple virtual power plants is established to determine the inter-plant trading power based on the double auction bidding, considering the competitive relationship. The simulation results show that the operating economy of virtual power plants is improved after the adoption of non-cooperative game coordination, and each virtual power plant(VPP) can make full use of energy and formulate reasonable strategies according to its own conditions.