考虑电能-备用-碳多元资源交易的配-微电网协同调度OA

[Objective]To address the issue of high operational costs in existing distribution networks and multi-microgrids caused by insufficient exploitation of synergistic flexibility,this paper proposes a coordinated optimal scheduling strategy for distribution-microgrids considering multi-resource trading of energy,reserve,and carbon emissions.[Methods]First,by fully considering the heterogeneity in market access qualifications among individual microgrids,a novel asymmetric microgrid alliance(AMGA)framework is established to enable differentiated entities participating in spot and reserve market bidding.On this basis,a Stackelberg game strategy between the distribution network operator(DNO)and AMGA is designed,incorporating a multi-level market clearing mechanism.In the upper-level,the DNO fully accounts for the power flow constraints of the distribution network and implements dynamic pricing of energy,reserve,and carbon targeting different market entities.In the lower-level,AMGA explores the energy transfer potential of Electric Vehicles(EV)to achieve coordinated scheduling of multi-microgrids.Subsequently,an optimization algorithm integrating a bisection method is employed to iteratively solve the scheduling model.[Results]The proposed strategy effectively reduces the operational costs of distribution-microgrid system,improves system economic performance by 12.83%,and ensures efficient grid operation.[Conclusions]This method achieves collaborative optimization and fair benefit distribution among multiple entities while balancing economic efficiency and environmental sustainability.