引用本文:林锟,刘丽军,蒋怡晴,江吴杰,杜力伟.考虑改进低碳需求响应的掺氢电-气综合能源系统优化调度[J].电力自动化设备,2026,46(2):12-21.
LIN Kun,LIU Lijun,JIANG Yiqing,JIANG Wujie,DU Liwei.Optimal scheduling of hydrogen-blended integrated electricity-gas system considering improved low-carbon demand response[J].Electric Power Automation Equipment,2026,46(2):12-21.
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考虑改进低碳需求响应的掺氢电-气综合能源系统优化调度
林锟1, 刘丽军1,2, 蒋怡晴1, 江吴杰1, 杜力伟3
1.福州大学 电气工程与自动化学院,福建 福州 350108;2.福州大学 数字能源福建省高校重点实验室,福建 福州 350108;3.国网福建省电力有限公司福州供电公司,福建 福州 350009
摘要:
如何合理利用低碳生产技术并制定有效的需求侧管理方案,是推进能源绿色转型亟需解决的问题。为此,提出一种考虑改进低碳需求响应的掺氢电-气综合能源系统优化调度方法。针对综合灵活运行方式的碳捕集电厂与氢能多元利用环节进行建模,并在碳交易市场下融合气网的动态掺氢技术,以提高系统用氢规模与捕碳灵活性;提出修正动态碳排放因子作为碳信号,为用户低碳用能提供参考;通过供需博弈互动构建参数自适应阶梯低碳需求响应模型,形成合理激励信号,挖掘需求侧的降碳潜力;以IEEE 39节点电网和比利时20节点气网为算例进行仿真,验证所提方法可有效降低系统碳排放并实现经济运行。
关键词:  电-气综合能源系统  气网动态掺氢  碳捕集电厂  低碳需求响应  修正动态碳排放因子  低碳经济调度
DOI:10.16081/j.epae.202510013
分类号:
基金项目:国家自然科学基金资助项目(52477084)
Optimal scheduling of hydrogen-blended integrated electricity-gas system considering improved low-carbon demand response
LIN Kun1, LIU Lijun1,2, JIANG Yiqing1, JIANG Wujie1, DU Liwei3
1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Key Laboratory of Energy Digitalization, Fuzhou University, Fuzhou 350108, China;3.Fuzhou Power Supply Company of State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350009, China
Abstract:
How to rationally utilize low-carbon production technologies and formulate effective demand-side management schemes is an urgent issue that needs to be addressed in promoting the green transformation of energy. For this purpose, an optimal scheduling method of hydrogen-blended integrated electricity-gas system considering improved low-carbon demand response is proposed. The models of carbon capture power plant with integrated flexible operation modes and diversified hydrogen energy utilization links are established. Dynamic hydrogen blending technology in gas network is incorporated under carbon trading market to enhance hydrogen utilization scale and carbon capture flexibility. A modified dynamic carbon emission factor is introduced as a carbon signal, providing a reference for users’ low-carbon energy consumption. Then, a parameter-adaptive stepwise low-carbon demand response model is constructed through supply-demand game interaction, generating reasonable incentive signals to explore carbon reduction potential on the demand side. Case studies are conducted through simulations on the IEEE 39-node power grid and 20-node Belgian gas network. The results verify that the proposed method can effectively reduce system’s carbon emissions while maintaining economic operation.
Key words:  hydrogen-blended integrated electricity-gas system  dynamic hydrogen blending of gas network  carbon capture power plant  low-carbon demand response  modified dynamic carbon emission factor  low-carbon economic scheduling

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