电动汽车实际出行行为存在一定的随机性和不确定性，其充电负荷的时空分布特性为园区综合能源系统的低碳经济运行带来双重挑战。为解决园区内存在的可再生能源供需失衡以及园区综合能源系统整体的经济问题，提出了一种考虑电动汽车出行链的园区综合能源系统低碳运行研究模型。首先，介绍了园区综合能源系统的构成与运行机制，建立了含有绿证-碳交易机制的微网运营商和用户聚合商电热负荷模型。其次，利用非齐次半马尔科夫链理论模拟电动汽车出行行为，构建电动汽车随机出行链，结合车辆在各状态间的转移规律和停留时间分布建立充电决策机制。最后，为了实现园区经济效益最大化以及降低园区的碳排放量，构建了微网运营商与含电动汽车的用户的主从博弈模型。结果表明，所建立的模型不仅可以满足电动汽车在复杂出行链下的充电需求，而且可以增加园区综合能源系统的经济和环境效益。

The actual travel behavior of electric vehicles has a certain degree of randomness and uncertainty, the spatial and temporal distribution characteristics of their charging loads pose double challenges to the low-carbon economic operation of the integrated energy system in parks. To solve the imbalance between the supply and demand of renewable energy existing in the park and the overall economic problems of integrated energy systems in parks, a low-carbon operation model of integrated energy systems in parks that considers the travel chain of electric vehicles is presented. Firstly, the composition and operation mechanism of integrated energy systems in parks containing EVs is introduced, and the microgrid operator model containing the green certificate-carbon trading mechanism and the electrical and thermal loads of user aggregator are established, respectively. Secondly, the nonhomogeneous semi-Markov chain theory is used to simulate the travel behavior of EVs, construct a stochastic travel chain for EVs, and establish a charging decision mechanism by combining the transfer law and residence time distribution of vehicles between states. Finally, to maximize the interests of each subject and reduce the carbon emissions in the park, a Stackelberg game model between users containing electric vehicles and the microgrid operator is constructed. The results show that the established model can meet the charging demand of EVs under the complex travel chain, effectively increase the economic and environmental benefits of integrated energy systems in parks.