Game Theory Based Optimization Allocation of Generators in Virtual Power Plant

Along with the encouragement and support from national policy, it is a general trend that a large amount of distributed power generation resources are being grid-connected to power grids. The uncertainty of power output of single distributed power plant leads to the limitation of grid-connection of single distributed power plants, and this problem could be effectively remitted by virtual power plant utilizing cluster complementary effect between multiple power sources. By use of game theory the generators in virtual plants were configured, and the installed conditions of investors in different power generation ways such as wind power generation, PV power generation, fossil fuel power generation and so on under various cooperative modes and non-cooperative modes were analyzed to allocate the revenue among the participants of the cooperative modes. It was considered that the game model might be more complex under N-person game, and it was possible to appear the situation that the individual reason was not inconsistent with the entire reason, thus it led to the overall revenue not too enough, so combining with the installed power supply ratio and the participants’ risk preference coefficients the Shapley value distribution method was improved. The effectiveness of the proposed method is verified by simulation results