Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution

Changping Sun; Xiaodi Zhang; Wei Zhang; Jiahao Liu; Zubing Zou; Leying Li; Cheng Wang

doi:10.1016/j.gloei.2024.10.016

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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution

Hydrogen Energy and Electric Energy Storage Key Technologies | 更新时间：2025-09-24

- Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution
- Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution
- 全球能源互联网(英文) 2025年8卷第3期
- 作者机构：
  
  1. Research Institute of Science and Technology, China Three Gorges Group Co.LTD,Beijing,P.R.China,100038
  2. Chongqing Urban Power Supply Branch, State Grid Chongqing Electric Power Company,Chongqing,P.R.China,400015
  3. Inner Mongolia Branch of China Three Gorges Group Co.LTD,Inner Mongolia,P.R.China,010000
  4. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Beijing,P.R.China,102206
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2024.10.016
  中图分类号：
- 纸质出版日期：2025
- 稿件说明：
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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution[J]. 全球能源互联网(英文), 2025,8(3).

Changping Sun, Xiaodi Zhang, Wei Zhang, et al. Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution[J]. Global energy interconnection, 2025, 8(3).
Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution[J]. 全球能源互联网(英文), 2025,8(3). DOI： 10.1016/j.gloei.2024.10.016.

Changping Sun, Xiaodi Zhang, Wei Zhang, et al. Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution[J]. Global energy interconnection, 2025, 8(3). DOI： 10.1016/j.gloei.2024.10.016.

摘要

Abstract

The frequency regulation reserve setting of wind-PV-storage power stations is crucial.However

the existing grid codes set up the station reserve in a static manner

where the synchronous generator characteristics and frequency-step disturbance scenario are considered.Thus

the advantages of flexible regulation of renewable generations are wasted

resulting in excessive curtailment of wind and solar resources.In this study

a method for optimizing the frequency regulation reserve of wind PV storage power stations was developed.Moreover

a station frequency regulation model was constructed

considering the field dynamic response and the coupling between the station and system frequency dynamics.Furthermore

a method for the online evaluation of the station frequency regulation was proposed based on the benchmark governor fitting.This method helps in overcoming the capacity-based reserve static setting.Finally

an optimization model was developed

along with the proposal of the linearized solving algorithm.The field data from the JH4#station in China’s MX power grid was considered for validation.The proposed method achieves a 24.77%increase in the station income while ensuring the system frequency stability when compared with the grid code-based method.

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Finite-time economic model predictive control for optimal load dispatch and frequency regulation in interconnected power systems