To address the insufficient linkage between macro-level carbon policy signals and micro-level resource dispatching decisions in the low-carbon operation of virtual power plants under the carbon trading mechanism,this paper proposes a multi-market coupled low-carbon optimal dispatching strategy for virtual power plants under macro carbon constraint transmission. First,a macro carbon trading scenario generation method is developed based on the computable general equilibrium (CGE)model, which quantifies parameters such as carbon price,carbon quota,and energy price under different carbon emission reduction targets, thereby providing external policy boundaries for virtual power plant dispatching.Second,the macro parameters output from the upper layer are embedded into the lower-layer virtual power plant optimal dispatching model. Combined with the Minkowski-sum-based resource aggregation method,the comprehensive regulation capability of multiple types of resources, including electric vehicle clusters,thermostatically controlled loads,industrial loads,and residential flexible loads,is characterized. Furthermore,a multi-market coupled optimization model coordinating the electricity energy market,peak-shaving auxiliary service 
market,and carbon trading market is established to achieve the coordinated improvement of economic benefits and carbon emission reduction benefits for virtual power plants.Case study results show that the proposed strategy can effectively respond to carbon price fluctuations and carbon quota constraints,reduce carbon emissions while improving the comprehensive revenue of virtual power plants,and enhance renewable energy consumption capacity and the feasibility of dispatching schemes.