考虑用户差异化的园区综合能源系统多主体博弈方法OA

In the context of increasing differentiation among park users,a multi-agent game-based collaborative optimization method for the park integrated energy system(PIES)is proposed to promote the coordinated interaction of electricity,heat,and carbon.First,considering the diverse characteristics of users,such as electricity consumption patterns and the availability of flexible resources,models for three distinct types of users within PIES were established.A tiered reward-penalty carbon trading mechanism was introduced to incorporate PIES into the carbon market,thereby incentivizing carbon reduction.Additionally,a PIES administrator(PIA)model,equipped with multiple energy devices,was developed to manage the electricity-heat-carbon trading market.Second,based on Stackelberg game theory,an interactive mechanism was constructed with the PIA as the leader and differentiated users as followers,forming a multi-agent leader-follower game decision model that integrates demand response and multi-energy complementarity.Finally,a distributed optimization algorithm with interaction mechanisms was employed to achieve Stackelberg game equilibrium.Simulation results demonstrate that the proposed method effectively achieves a win-win outcome for multiple PIES stakeholders.