Optimization of Regional Integrated Energy System Cluster Based on Multi-agent Game

The regional integrated energy system cluster is of positive significance for the development of the low-carbon power system through multi-source integration and multi-regional coordination. Aiming at the defect that the centralized optimal dispatching method cannot reveal the interests of multi-agent, and to protect the privacy of participants, a distributed cluster optimization model based on multi-agent game is proposed in this paper. A stackelberg game with the operator as the leader and the regional integrated energy system as the follower is established. The operator can improve its profit by adjusting the internal electricity pricing strategy. On the basis of realizing internal power optimization, each region is regarded as a prosumer to participate in intra-cluster transaction, so as to achieve cluster coordinated optimization. Then, the validity of the method proposed in this paper is verified by a case analysis, which provides a reference for the optimization of the integrated energy system cluster.