Multi-agent Bi-level Optimal Scheduling Method for Park Integrated Energy Systems Based on Carbon Trading and Leader-Follower Game Theory
To achieve the strategic goals of"carbon peaking"and"carbon neutrality",the clean and low-carbon utilization of integrated energy systems in parks is particularly urgent.A multi-agent bi-level optimal scheduling method based on the carbon trading mechanism and leader-follower game is proposed.By introducing the carbon trading model and demand response mechanism,the economic efficiency and operational efficiency of the system are enhanced,and carbon emissions are reduced.First,the energy conversion equipment within the park and the tiered carbon trading mechanism are introduced.Then,a multi-agent game equilibrium model is established,where the park's integrated energy system operator and the load aggregator are the two players.This model incorporates an integrated demand response mechanism.Finally,through comparative simulation analysis of case studies,the effectiveness and rationality of the proposed method are verified,showing that the carbon trading mechanism and integrated demand response have a cumulative effect in improving carbon emission reduction.
park integrated energy systemcarbon emissionscarbon tradingbi-level modelintegrated demand responseleader-follower gameoptimal scheduling
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