Optimal Scheduling Strategy of IES Based on Multi-Agent Master-Slave Game

In view of the different interests of multiple market players in the integrated energy system and the problem of energy decarbonization, a low-carbon economic optimal scheduling strategy of the integrated energy system based on the master-slave game of multiple players under the carbon trading mechanism is proposed. Firstly, to reduce the carbon dioxide emissions of the system, a ladder system carbon trading mechanism is introduced to limit the carbon dioxide emissions of the system; secondly, an energy management operator (EMO) as the upper-level leader, an energy generation operator (EGO), an energy storage operator (ESO) and a consumer are built. Finally, a differential evolutionary algorithm nested with CPLEX solver is used to solve the problem, and the effectiveness of the strategy is verified through case studies.