Abstract:With the goals of “carbon peaking” and “carbon neutrality,” achieving clean and low-carbon energy utilization has become an urgent task. Park integrated energy systems can purchase electricity and natural gas from external power grids and natural gas networks and efficiently meet users’ diverse energy needs through energy conversion coupling equipment. This paper introduces a carbon trading model and demand response mechanism to further reduce carbon emissions and enhance the system’s economic performance and efficiency. For industrial park integrated energy systems, a multi-agent bi-level optimal scheduling method based on carbon trading mechanisms and leader-follower game theory is proposed. Firstly, the internal energy conversion equipment of the park and the tiered carbon trading mechanism are introduced. Secondly, taking the park integrated energy system operators and the load aggregators of integrated users as the game parties, a multi-agent game equilibrium model based on carbon trading and leader-follower game theory is constructed by introducing a comprehensive demand response mechanism. Finally, the effectiveness and rationality of the proposed method are verified through comparative simulation analysis. The carbon trading mechanism and comprehensive demand response have a superimposed effect on improving carbon emission reductions.