[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.