Master Slave Game Optimization Scheduling of Park Comprehensive Energy System Based on Stepped Demand Response

In order to deeply understand the interactive process of various subjects in the park's integrated energy system, effectively guide the demand-side load optimization and promote energy low-carbon, this paper puts forward a master-slave game optimization scheduling model of the park's integrated energy system based on ladder demand response, with the park operator as the leader and the user aggregator as the follower. First of all, a master-slave game structure with park operators and user aggregators as the main body is constructed, and a stepped demand response incentive mechanism is established to guide the energy use behavior of the user side; Secondly, based on the Stackelberg game theory and taking into account the carbon trading mechanism, with the goal of maximizing the comprehensive income of the park operators and the consumer surplus of the user aggregators, the optimal scheduling model of the comprehensive energy system considering the master-slave game of the park operators and the user aggregators is constructed; Finally, the theoretical research is analyzed and demonstrated through a numerical example, and the results show that the game interaction model proposed in this paper can effectively improve the benefits of the principal and subordinate parties, and reduce the carbon emission level of the system.