1.浙江工业大学 信息工程学院,浙江 杭州 310023
2.同济大学 电子信息工程学院,上海 200092
3.詹姆斯库克大学 科学与工程学院,澳大利亚 汤斯维尔 4811
冯昌森(1990 —),男,副教授,博士,主要研究方向为电力系统优化与控制等(E-mail:fcs@tongji.edu.cn);
林 军(1999 —),男,硕士研究生,主要研究方向为电力市场(E-mail:211122030080@zjut.edu.cn);
杨甲甲(1989 —),男,高级讲师,博士研究生导师,博士,通信作者,主要研究方向为电力系统优化控制、电力市场、分布式能源接入等(E-mail:jiajia.yang@jcu.edu.au);
张有兵(1971 —),男,教授,博士研究生导师,博士,主要研究方向为智能电网、分布式发电及新能源优化控制、电动汽车入网、电力系统通信、电能质量监控等(E-mail:youbingzhang@zjut.edu.cn)。
收稿:2024-11-28,
修回:2025-04-18,
网络首发:2025-12-25,
纸质出版:2026-05-10
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冯昌森,林军,黄忠梁等.构网型电力设备参与惯量和电能量市场的市场机制设计[J].电力自动化设备,2026,46(05):18-25.
Feng Changsen,Lin Jun,Huang Zhongliang,et al.Market mechanism design for grid⁃forming power equipment participating in inertia and electric energy markets[J].Electric Power Automation Equipment,2026,46(05):18-25.
冯昌森,林军,黄忠梁等.构网型电力设备参与惯量和电能量市场的市场机制设计[J].电力自动化设备,2026,46(05):18-25. DOI: 10.16081/j.epae.202512020.
Feng Changsen,Lin Jun,Huang Zhongliang,et al.Market mechanism design for grid⁃forming power equipment participating in inertia and electric energy markets[J].Electric Power Automation Equipment,2026,46(05):18-25. DOI: 10.16081/j.epae.202512020.
为应对新型电力系统中惯量和一次调频响应短缺的问题,提出一种构网型电力设备参与惯量和电能量市场的新型市场机制,以激励各电力设备提供惯量和一次调 频响应。分析构网型逆变器和跟网型逆变器在不同控制策略下提供虚拟惯量/下垂因子的能力,综合考虑各电力设备响应延迟对系统频率的影响,构建三阶段系统动态频率响应模型,推导出频率安全约束。在此基础上,建立考虑频率安全约束的惯量和电能量联合市场出清模型,并对各电力设备提供的惯量/下垂因子进行定价。基于加州独立系统运营商历史数据的IEEE 30节点系统算例表明,该机制能够有效协调电能量以及惯量和一次调频响应资源,并通过合理定价保障各电力设备的经济收益。
In order to deal with the shortage problem of inertia and primary frequency response in new power system,a new market mechanism of grid⁃forming power equipment participating in inertia and electric energy markets is proposed,which motivates each power equipment to provide inertia and primary frequency response. The virtual inertia and droop factor provision capabilities of grid⁃forming inverter and grid⁃following inverter under different control strategies are analyzed,the impact of response delay of each po-wer equipment on system frequency is comprehensively considered,a three⁃stage system dynamic frequency response model is constructed,and the frequency security constraints are derived. On this basis,an inertia⁃electric energy joint market clearing model considering frequency security constraints is constructed,and the inertia and droop factor provided by each power equipment are priced. The example of IEEE 30-bus system based on historical data of California Independent System Operator shows that the proposed mechanism can effectively coordinate electric energy,inertia and primary frequency response resource,and ensure economic returns of each power equipment through rational pricing.
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