Hierarchical Reserve Power Dispatching Strategy of Wind Farms for Grid Frequency Support

Tianqi Liu; Yuehai Chen; Qiao Peng; Tingyun Gu; Yu Wang

doi:10.35833/MPCE.2025.000562

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Hierarchical Reserve Power Dispatching Strategy of Wind Farms for Grid Frequency Support

Original Paper | 更新时间：2026-09-28

- Hierarchical Reserve Power Dispatching Strategy of Wind Farms for Grid Frequency Support
- Journal of Modern Power Systems and Clean Energy Vol. 14, Issue 5, Pages: 1609-1621(2026)
- 作者机构：
  
  1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China
  2.Electric Power Research Institute, Guizhou Power Grid Co., Ltd., Guiyang 550000, China
- 作者简介：
  
  Tianqi Liu received the B.S. and M.S. degrees from Sichuan University, Chengdu, China, in 1982 and 1986, respectively, and the Ph.D. degree from Chongqing University, Chongqing, China, in 1996, all in electrical engineering. She is currently a Full Professor with the College of Electrical Engineering, Sichuan University. Her main research interests include stability, control, and optimal operation of power system, high-voltage direct current (HVDC) transmission technology, dynamic security analysis, dynamic state estimation, and load forecasting.Email: tqliu@scu.edu.cn;
  Yuehai Chen received the B.S. degree in electrical engineering and automation and the M.S. degree in electrical engineering from the Sichuan University, Chengdu, China, in 2023 and 2026, respectively. His research interests include modern power system stability and frequency support control, and power dispatching of wind power system. Email:chen_yh@stu.scu.edu.cn
  Qiao Peng received the B.Eng. degree in electrical engineering from Sichuan University, Chengdu, China, in 2015, and the Ph.D. degree in electrical engineering from the Department of Energy Technology, Aalborg University, Aalborg, Denmark, in 2020. Her research interests include stability and control of power electronics-based power system, grid integration of renewable energy sources, especially photovoltaic system and battery energy storage system. Email:qpeng@scu.edu.cn
  Tingyun Gu received the M.S. degree from Guizhou University, Guiyang, China, in 2013. She is currently working at Electric Power Research Institute, Guizhou Power Grid Co., Ltd., Guiyang, China. Her research interests include renewable energy and power system operation and control. Email: gutingyun@126.com
  Yu Wang received the M.S. degree from Harbin Institute of Technology, Harbin, China, in 2011. He is currently working at Electric Power Research Institute, Guizhou Power Grid Co., Ltd., Guiyang, China. His research interests include power system automation. Email:wy_hit@163.com
- 基金信息：
- DOI：10.35833/MPCE.2025.000562
  CLC：
- Received：18 June 2025，
  
  Revised：2025-10-18，
  
  Accepted：22 March 2026，
  
  Online First：17 April 2026，
  
  Published：15 September 2026
- 稿件说明：
移动端阅览
Liu Tianqi,Chen Yuehai,Peng Qiao,et al.Hierarchical Reserve Power Dispatching Strategy of Wind Farms for Grid Frequency Support[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1609-1621.
DOI：

Liu Tianqi,Chen Yuehai,Peng Qiao,et al.Hierarchical Reserve Power Dispatching Strategy of Wind Farms for Grid Frequency Support[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1609-1621. DOI： 10.35833/MPCE.2025.000562.

摘要

Abstract

Wind turbine (WT) is required to support grid frequency in some cases usually by decelerating the rotor speed. However

the available adjustment capacity is limited and short-lasting

requiring reserve power for more capacity. For wind farms (WFs)

reserve power dispatching is important both at steady state and during dynamic grid frequency support process

as it influences the lifespan and cost of WFs. Moreover

power dispatching at steady state and during dynamic grid frequency support process may have a mutual impact on their performance. For this regard

this paper proposes a hierarchical reserve power dispatching (HRPD) strategy of WFs for grid frequency support. The hierarchical concept is reflected on the WF and the WT control layers spatially

as well as on the steady-state layer and the dynamic grid frequency support layer temporally. First

the central controller of WF determines the reserve power command of each WT at the steady-state layer according to the total reserve power requirement

where the total fatigue of WFs and the fatigue distribution among WTs are considered to reduce the operating fatigue of the WF and maintain the consistency of WTs. Meanwhile

the WT controller assesses the real-time grid frequency support capability of each WT at the dynamic grid frequency support layer

according to the available kinetic energy of rotor and the real-time pitch angle to optimize the utilization of regulation capacity while maintaining the performance of grid frequency support. Based on this

the central controller adjusts and assigns a dynamic frequency droop coefficient to each WT. Case studies validate the performance of the proposed HRPD strategy in total fatigue reduction

fatigue distribution restriction

and grid frequency support.

关键词

Keywords

references

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