Optimization of Microgrid Capacity Allocation Based on Game Theory

Abstract

With the development of microgrid technology, the installed capacity is increasing rapidly. To ensure the economy and reliability of the microgrid integrated with wind, photovoltaic and gas, the installed capacity should be configured rationally. In order to solve the problem of capacity allocation, this paper proposes an optimization model based on game theory, where the relationship among the distributed generations (DGs) and the power supply rules are considered. With particle swarm algorithm, the Nash equilibrium of the game model for the microgrid is worked out, as the reference for the decision-making of DG capacity allocation problem. Last, a case study is analyzed to verify the correction and the optimization of the proposed game model.