为实现源网荷有效降碳，探究新能源汽车在多能耦合系统的经济价值，提出了碳捕集系统-电转气联合应用模式下考虑新能源汽车车到网（vehicle-to-grid，V2G）及碳交易的综合能源系统（integrated energy system，IES）优化调度策略。首先，构建灵活运行的碳捕集系统，与电转气、储氢罐和掺氢燃气轮机等氢能组件构成系统耦合框架；其次，采用蒙特卡洛方法模拟汽车无序充电行为，并通过结合电池退化成本与激励成本，引导电动汽车-氢燃料汽车（electric vehicle - hydrogen fuel cell vehicle，EV-HFCV）集群参与调度；然后，引入阶梯碳交易机制和面向EV-HFCV集群的碳配额交易机制，构建基于信息间隙决策理论的风险规避模型；最后，算例仿真分析结果表明所提策略能够有效减少碳排放并提高可再生能源消纳，通过EV-HFCV集群的协同调度能进一步降低系统的整体运行成本。

To achieve effective carbon reduction in the source-grid-load system and explore the economic value of new energy vehicles in a multi-energy coupling system, an optimal scheduling strategy for an integrated energy system (IES) considering vehicle-to-grid (V2G) and carbon trading under the combined application mode of carbon capture systems and power-to-gas is proposed. Firstly, a system coupling framework is constructed, integrating a flexible operation carbon capture system with power-to-gas, hydrogen storage tanks, and hydrogen-blended gas turbines and other hydrogen energy components. Secondly, the Monte Carlo method is used to simulate the disordered charging behavior of vehicles, and by combining battery degradation costs and incentive costs, the electric vehicle - hydrogen fuel cell vehicle (EV-HFCV) cluster is guided to participate in the scheduling. Then, a stepwise carbon trading mechanism and a carbon quota trading mechanism for the EV-HFCV cluster are introduced, and a risk-averse model based on information gap decision theory is constructed. Finally, case simulation analysis results show that the proposed strategy can effectively reduce carbon emissions and increase the consumption of renewable energy, and further reduce the overall operating cost of the system through the coordinated scheduling of the EV-HFCV cluster.