随着中国核证自愿减排（China′s certified voluntary emission reduction，CCER）市场的重启，CCER效益主要通过碳市场的交易来实现，而基于碳市场的CCER碳减排策略和基于电能量市场的能量调度策略密切相关。为充分发挥综合能源系统（integrated energy system，IES）能-碳灵活性聚集效应，实施低碳和电能需求调度，以促进IES低碳高效运营和电力系统低碳转型，提出了考虑低碳效益的IES电碳市场化运营策略，构建了IES参与电碳市场联合出清的双层优化博弈模型，上层为IES电碳市场投标决策模型，构建了碳配额分配模型并量化了CCER凭证-碳配额抵消机制，以IES电碳运营综合成本最小为目标，制定异质能产能计划及电碳市场投标策略；下层为电碳市场出清模型，以市场社会福利最大化为目标，满足市场电碳需求出清。双层模型联立迭代求解，最后得出IES参与电碳市场运营的最优产能决策。算例结果验证了所提策略能够降低系统的碳排放，提升IES的运营效益。

With the restart of China′s certified voluntary emission reduction （ CCER ） market, the benefits of CCER are mainly realized through carbon market transactions, and the CCER carbon emission reduction strategy based on carbon market is closely related to the energy scheduling strategy based on electric energy market. In order to give full play to the energy-carbon flexibility aggregation effect of integrated energy system （ IES ）, implement low-carbon and power demand scheduling, and promote low-carbon and efficient operation of IES and low-carbon transformation of power system, a market-oriented operation strategy of IES electricity carbon considering low-carbon benefits is proposed. A bi-layer optimization game model of IES participating in the joint clearing of electricity carbon market is constructed. The upper layer is the bidding decision model of IES electricity carbon market. The carbon quota allocation model is constructed and the CCER voucher-carbon quota offset mechanism is quantified. With the minimum comprehensive cost of IES electricity carbon operation as the goal, the heterogeneous energy capacity plan and the electricity carbon market bidding strategy are formulated. The lower layer is the electricity carbon market clearing model, which aims to maximize the social welfare of the market and meet the market electricity carbon demand clearing. The bi-layer model is solved iteratively, and finally the optimal capacity decision of IES participating in the operation of the electricity carbon market is obtained. The results of the case study verify that the proposed strategy can reduce the carbon emissions of the system and improve the operating efficiency of the IES.