【摘要】 为实现综合能源系统低碳运行，并同时兼顾运营商和用户两者的利益，该文提出一种考虑混合碳政策的运营商-用户主从博弈双层优化模型。在日前调度阶段，上层以运营商收益最大为目标，引入阶梯型碳交易和碳税成本，对系统碳排放量进行限制，并根据用户反馈的用能策略，决定运营商对用户的定价策略和各设备出力。下层用户以购能费用最小为目标，利用热惯性和电需求响应，决定所需的电热冷负荷。最后，将下层用户模型转化为上层约束，得到单层混合整数线性模型，并通过算例分析验证了所提方法的合理性，能够有效减少系统碳排放，降低用户用能成本。更多还原

【Abstract】 To accomplish the low-carbon operation of IES and take into account the interests of both operators and users,the paper raises a two-layer optimization model for the operator-user master-slave game viewing hybrid carbon policies. In the day-ahead dispatching stage,the upper layer aims at maximizing the operator’s revenue,introduces ladder-type carbon trading and carbon tax cost to constrain carbon emissions of IES,and determines the operator’s pricing strategy and the output of each piece of equipment based on the energy consumption strategy fed by the users. The lower tier users aim to minimize the energy purchase cost and use thermal inertia and electrical demand response to determine the required electrical heating and cooling load. Finally,the lower deck model is transformed into the upper deck constraint to gain a single deck mixed-integer linear pattern,and the justifiability of the proposed approach is shown through simulation example analysis,which can significantly decrease the carbon emission of IES and reduce the cost of users.更多还原