收藏切换
Segmented Evaluation Method for Primary Frequency Regulation Performance of Renewable Energy Stations Based on Measured Data
收藏切换
Sijia BAO, Zhiming SHI, Jian ZHANG, Junjun ZHANG
Journal of Power Supply | 2025, 23(7) : 143 - 151
Less
收藏切换
Journal of Power Supply | 2025, 23(7): 143-151
• Renewable Energy System •
Segmented Evaluation Method for Primary Frequency Regulation Performance of Renewable Energy Stations Based on Measured Data
Full
Sijia BAO, Zhiming SHI, Jian ZHANG, Junjun ZHANG
Affiliations
  • State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing 100192, China
Published: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.143
Outline
收藏切换

In recent years, the proportion of DC transmission and renewable energy power generation has increased rapidly, and the requirement that renewable energy units should participate in the primary frequency regulation of power grid has been gradually introduced into the management rules of various localities. However, the existing evaluation methods for the primary frequency regulation performance of a renewable energy station based on simulated power grid frequency disturbance tests focus on the comprehensive evaluation of primary frequency regulation performance of the station and cannot accurately characterize its initial dynamic characteristics, which are not suitable for the analysis of field measured data. Aimed at this problem, a segmented evaluation method for the primary frequency regulation performance of the station is proposed. Based on the description of the existing evaluation methods for the primary frequency regulation performance of renewable energy stations, the shortcomings of the existing evaluation methods are revealed by combining with the analysis results of field fault recording data. Then, according to the dynamic characteristics of primary frequency regulation and the control process of primary frequency regulation of the station, the measured data is analyzed and evaluated in segments to achieve an accurate characterization of primary frequency regulation performance during the whole process. Test results show that the proposed segmented evaluation method can be effectively applied to the analysis of measured data of primary frequency regulation and accurately evaluate the primary frequency regulation performance of the station, providing an alternative scheme for the real-time evaluation of primary frequency regulation performance of renewable energy stations.

Renewable energy station  /  measured data  /  primary frequency regulation  /  dynamic characteristic  /  segmented evaluation
包斯嘉, 施志明, 张建, 张军军. 基于实测数据的新能源场站一次调频性能分段评价方法. 电源学报, 2025 , 23 (7) : 143 -151 . DOI: 10.13234/j.issn.2095-2805.2025.7.143
Sijia BAO, Zhiming SHI, Jian ZHANG, Junjun ZHANG. Segmented Evaluation Method for Primary Frequency Regulation Performance of Renewable Energy Stations Based on Measured Data[J]. Journal of Power Supply, 2025 , 23 (7) : 143 -151 . DOI: 10.13234/j.issn.2095-2805.2025.7.143
  • State Grid Corporation of China Headquarter Science & Technology Project(5100-202255376A-2-0-ZN)
Year 2025 volume 23 Issue 7
54
4
Cite this Article
BibTeX
Article Info
doi: 10.13234/j.issn.2095-2805.2025.7.143
  • Receive Date:2023-01-06
  • Online Date:2026-10-26
  • Published:2025-11-30
Article Data
Affiliations
History
  • Received:2023-01-06
  • Revised:2023-09-28
  • Accepted:2023-11-21
Funding
State Grid Corporation of China Headquarter Science & Technology Project(5100-202255376A-2-0-ZN)
Affiliations
    State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing 100192, China
References
Share
https://castjournals.cast.org.cn/joweb/dyxb/EN/10.13234/j.issn.2095-2805.2025.7.143
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT