在电市场、碳市场背景下，虚拟电厂研究不断深入，为实现同一配电网内各区域电能互济及运用价格机制引导各用户主体安全运行，提出一种动态电碳定价的虚拟电厂联盟主从博弈调度策略。首先，设计一种由联盟运营商拟定电碳价，各虚拟电厂主体根据价格制定内部运行计划的虚拟电厂联盟交互框架；其次，采用信息间隙决策理论对源荷侧不确定性处理，基于主从博弈建立虚拟电厂联盟优化调度模型；最后，采用粒子群算法嵌套CPLEX求解器求解，通过算例分析论证所提策略的合理性和有效性。仿真结果表明：虚拟电厂联盟在日运行成本，碳排量，综合收益等方面都得到了改善。

In the context of electricity and carbon markets, with the continuous deepening of virtual power plant research and the goal of achieving energy mutual support in different regions within the same distribution network, a dynamic electricity-carbon pricing virtual power plant alliance master-slave game scheduling strategy was proposed. First, an interaction framework of the virtual power plant alliance was designed, where the alliance operator set the electricity-carbon prices, and the user entities formulate their operational plans based on the prices. Second, the information gap decision theory was employed to handle uncertainties in both generation and load sides, and a virtual power plant alliance optimization scheduling model was established based on the master-slave game. Finally, a particle swarm algorithm nested with a CPLEX solver was used to solve the model, and case studies were conducted to validate the rationality and effectiveness of the proposed strategy. Simulation results show that the virtual power plant alliance improves in terms of daily operating costs, carbon emissions, and overall benefits.