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Double-Differentiated Capacity Compensation Method Considering Cost Recovery and Flexibility Adjustment
Yaojie JIN, Guanglong CHANG, Jiang XU, Yu CHEN, Qinggui XU, Haili WANG, Chongchun LI, Haowen OUYANG
South Power Sys Technol ›› 2026, Vol. 20 ›› Issue (3) : 127-134.
PDF(1112 KB)
PDF(1112 KB)
Double-Differentiated Capacity Compensation Method Considering Cost Recovery and Flexibility Adjustment
With the increasing proportion of new energy in China's energy supply, its inherent volatility will bring severe challenges to the power system, and the system needs more flexible resources to meet the demand of system balance. As a kind of high-quality flexible regulating resource, conventional thermal power unit is crucial for integrating a high proportion of renewable energy. In view of the decline in the guaranteed income of thermal power units, China currently implements a two-part electricity price policy for coal-fired power units to ensure the basic income of conventional thermal power units, but it cannot effectively encourage thermal power units to further improve their regulation performance. Based on the comparative analysis of the applicability of typical capacity compensation methods at home and abroad in China's market environment, a double-differentiated capacity compensation method considering cost recovery and flexible adjustment is proposed, including two compensation methods: guaranteed cost recovery capacity compensation and incentive flexible adjustment capacity compensation, and the corresponding compensation intensity calculation model is established. This method uses universal evaluation index to help thermal power units recover costs more accurately, and can also motivate them to further improve their flexible regulation performance. Finally, simulations using the IEEE 30-node system validate the effectiveness of this compensation method in fixed cost recovery, flexible regulation capability incentives, and supporting system stability.
thermal power units / double-differentiated capacity compensation / cost gap / flexible adjustment ability / comprehensive and flexible value
| [1] |
康重庆, 姚良忠. 高比例可再生能源电力系统的关键科学问题与理论研究框架[J]. 电力系统自动化, 2017, 41(9): 2 - 11.
|
| [2] |
叶小宁, 王彩霞, 时智勇, 等. 国外高比例新能源消纳分析及对中国新能源可持续发展的建议[J]. 中国电力, 2025, 58(6): 137 - 144.
|
| [3] |
沈赋, 曹旸, 徐潇源, 等. 高比例可再生能源电力系统惯量预测方法研究综述[J]. 电力建设, 2025, 46(8): 116 - 128.
|
| [4] |
朱泽安,潘廷哲,孟子杰,等. 基于决策树的含高比例光伏低压配网非参运行优化[J]. 南方电网技术, 2025,19(12):135 - 145.
|
| [5] |
康重庆, 杜尔顺, 张宁, 等. 可再生能源参与电力市场:综述与展望[J]. 南方电网技术, 2016, 10(3): 16 - 23.
|
| [6] |
|
| [7] |
刘双全, 谢蒙飞, 陈清贵, 等. 适应云南电力市场的火电搁置成本补贴机制[J]. 南方电网技术, 2020, 14(6): 40 - 46.
|
| [8] |
|
| [9] |
刘硕, 于松泰, 孙田, 等. 面向高比例可再生能源电力系统的容量补偿机制研究[J]. 电网技术, 2022, 46(5): 1780 - 1789.
|
| [10] |
|
| [11] |
武昭原, 周明, 王剑晓, 等. 激励火电提供灵活性的容量补偿机制设计[J]. 电力系统自动化, 2021, 45(6): 43 - 51.
|
| [12] |
|
| [13] |
国家发展改革委, 国家能源局. 关于建立煤电容量电价机制的通知[EB/OL]. (2023 - 11 - 10)[2024 - 02 - 26].
|
| [14] |
于松泰, 刘硕, 李国栋, 等. 适应我国电力市场发展的容量充裕性机制研究[J]. 价格理论与实践, 2023(9): 130 - 136.
|
| [15] |
刘泽扬, 荆朝霞, 孙启星, 等. 基于系统动力学的发电容量充裕度机制分析[J]. 电力系统自动化, 2022, 46(14): 109 - 118.
|
| [16] |
|
| [17] |
朱继忠, 喻芸, 谢平平, 等. 美国稀缺定价机制及对我国现货市场建设的启示[J]. 南方电网技术, 2019, 13(6): 37 - 43,75.
|
| [18] |
李琪瑞, 杨知方, 李文沅. 面向差异化电源成本结构的容量市场机制设计[J]. 电工技术学报, 2024, 39(23): 7498 - 7511.
|
| [19] |
|
| [20] |
|
| [21] |
王子强, 李豹, 杜哲宇, 等. PJM电力市场风险管控措施及对南方区域的建议[J]. 南方电网技术, 2024, 18(1): 28 - 37,68.
|
| [22] |
黄海涛, 贾秀锋, 程凯, 等. 新型电力系统下多元资源发电容量充裕性评估与保障机制[J]. 电力系统自动化, 2024, 48(11): 77 - 87.
|
| [23] |
赵峰, 李清龙, 王伟. 电力市场中热电联产机组两部制电价机制的研究[J]. 电网与清洁能源, 2013, 29(6): 56 - 60.
|
| [24] |
郝玲, 陈磊, 黄怡涵, 等. 新型电力系统下燃煤火电机组一次调频面临的挑战与展望[J]. 电力系统自动化, 2024, 48(8): 14 - 29.
|
| [25] |
吴滇宁, 卢佳, 李刚, 等. 清洁能源占比高的电力市场环境下火电辅助服务补偿方法[J]. 南方电网技术, 2018, 12(12): 78 - 85.
|
| [26] |
李建锋, 周宏, 吕俊复. 中国1 000 MW等级火力发电机组可靠性分析[J]. 中国电力, 2017, 50(11): 1 - 7.
|
| [27] |
|
/
| 〈 |
|
〉 |