Optimal Operation of Distribution System Operator and Multi-intelligent Community Micro-Grid Based on Hybrid Game Theory

Under the background of global low-carbon constraints and national energy transformation needs, as Chinese residential communities have the characteristics of large capacity, large base and large carbon reduction potential, in order to further tap the low-carbon potential of residential communities, this paper proposes a distribution system operator based on a Hybrid Game theory. Distribution System Operator (DSO) and Community Micro-Grid (CMG) optimization scheduling method. Considering the interaction between DSO and CMG, the Hybrid Game model of DSO and CMG is established by combining Stackelberg game and cooperative game. Among them, DSO is the leader, aiming at maximizing its own benefits, and guiding CMG operation optimization by setting power price. As a follower, CMG aims to maximize its own economic benefits and responds to DSO's decisions through cooperation. Differential evolution algorithm combined with alternating direction multiplier method (ADMM) was used to solve the model. The results show that the proposed method can reduce the carbon emission of residential communities and increase the cooperative income of CMG.