Research on Multi-Agent Trading Method of Integrated Energy System Based on Mixed Game

With the continuous improvement of the power market mechanism and the gradual development of the comprehensive energy system, the comprehensive energy system will present a market competition situation in which multiple stakeholders coexist, which has the characteristics of complex transaction behavior, scattered transaction data and poor execution. In this paper, an IES multi-agent master-slave transaction optimization model based on mixed game is proposed. Stackelberg game is used to promote energy sharing among distributed integrated energy systems, optimize Equipment scheduling and energy consumption schemes, and reduce system energy cost and carbon discharge.