针对碳交易机制下虚拟电厂低碳运行中宏观碳政策信号与微观资源调度决策衔接不足的问题，提出一种宏观碳约束传导下的虚拟电厂多市场耦合低碳优化调度策略。首先，基于可计算一般均衡（CGE）模型构建宏观碳交易场景生成方法，实现不同碳减排目标下碳价、碳配额及能源价格等参数的量化，为虚拟电厂调度提供外部政策边界；其次，将上层输出的宏观参数嵌入下层虚拟电厂优化调度模型，结合闵可夫斯基和资源聚合方法，刻画电动汽车、温控负荷、工业负荷和居民柔性负荷等多类型资源的综合调节能力；进一步，构建电能量市场、调峰辅助服务市场和碳交易市场协同的多市场耦合优化模型，实现虚拟电厂经济收益与碳减排效益的协调提升。算例结果表明，所提策略能够有效响应碳价波动与碳配额约束，在提升虚拟电厂综合收益的同时降低碳排放水平，提高可再生能源消纳能力和调度方案可行性。

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.