计及碳配额引导需求响应的综合能源系统主从博弈低碳优化
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(1.郑州工业应用技术学院机电工程学院 ,河南 郑州 451100;2.国网河南省电力公司电力科学研究院 ,河南 郑州 450000)

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通讯作者:

张岩(1989—),男,副教授,硕士,主要从事综合能源系统、电力市场的研究;E-mail:zhangyanep@163.com

中图分类号:

TM743

基金项目:

国家自然科学基金(62172142);河南省高等学校重点科研项目(26A460023)


Low -carbon optimization in master -slave game of integrated energy system considering demand resp onse guided by carbon quota
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(1. School of Mechanical and Electrical Engineering , Zhengzhou University of Industrial Technology , Zhengzhou 451100, China; 2. State Grid Henan Electric Power Re search Institute , Zhengzhou 450000, China)

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    摘要:

    为构建绿色低碳的能源运行模式,研究碳配额与需求响应的协调配合以及氢能的低碳清洁特性具有重要意义。为此,提出了一种基于碳配额引导综合需求响应的电 ?热?气?氢综合能源系统 (integrated energy system,IES)主从博弈低碳协调优化策略。首先,引入由电解槽、氢燃料电池和甲烷反应器组成的氢能利用系统,构建电 ?热?气?氢IES耦合模型。其次,为充分释放需求侧低碳调节潜力,引入碳配额引导综合需求响应的双重激励策略,在博弈模型中嵌入阶梯型碳交易机制,构建 IES运营商与用户的低碳交互模型。最后,采用基于混沌粒子群算法和Gurobi求解器对所提博弈模型进行求解。算例仿真设置不同场景对比,验证了所提的基于碳配额引导综合需求响应的双重激励策略和氢能耦合模型的有效性,充分发挥了需求侧的减排潜力和响应能力。

    Abstract:

    To build a green and low-carbon energy ope ration mode,it is of great significance to study the coordination between carbon quota and demand response,as well as the low-carbon and clean characteristics of hydrogen energy.Therefore,a low-carbon coordinated optimization strategy for the master-slave game of electricity-heat-gas-hydrogen integrated energy system (IES) based on comprehensive demand response guided by carbon quota is proposed.First,given the low-carbon and clean characteristics of hydrogen energy,a hydrogen energy utilization system composed of an electrolytic cell,a methane reactor,and a hydrogen fuel cell is introduced,and an electricity-heat-gas-hydrogen IES coupling model is constructed.Secondly,to fully release the low-carbon regulation potential on the demand side,a dual incentive strategy for comprehensive demand response guided by a carbon quota is introduced.A ladder-type carbon trading mechanism is embedded into the game model to construct a low-carbon interaction model between IES operators and users.Finally,a bi-level solution algorithm based on the chaotic particle swarm optimization algorithm and the Gurobi solver is adopted to solve the proposed game model.In the case simulation,different scenarios are set for comparative analysis to respectively verify the effectiveness of the proposed dual incentive strategy for comprehensive demand response guided by carbon quota and the hydrogen energy coupling model and to fully exert the emission reduction potential and response capability on the demand side.

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张岩,李瑞芳,赵健,等.计及碳配额引导需求响应的综合能源系统主从博弈低碳优化[J].电力科学与技术学报,2026,41(3):236-247.
Zhang Yan, Li Ruifang, Zhao Jian, et al. Low -carbon optimization in master -slave game of integrated energy system considering demand resp onse guided by carbon quota[J]. Journal of Electric Power Science and Technology,2026,41(3):236-247.

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  • 收稿日期:2025-01-03
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  • 在线发布日期: 2026-07-02
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