Review of coordinated control architectures and algorithms for large‑scale wind farms

doi:10.19781/j.issn.1673-9140.2025.01.001

Home > Archive>Volume 40, Issue 1, 2025 >1-18. DOI:10.19781/j.issn.1673-9140.2025.01.001

Review of coordinated control architectures and algorithms for large‑scale wind farms
DOI:
                        10.19781/j.issn.1673-9140.2025.01.001
                    
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                        HAN Ji1HAN Ji
College of New Energy, Harbin Institute of Technology, Weihai 264200, China
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DENG Yuting1DENG Yuting
College of New Energy, Harbin Institute of Technology, Weihai 264200, China
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GENG Ziyue1GENG Ziyue
College of New Energy, Harbin Institute of Technology, Weihai 264200, China
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LYU Wenxi2LYU Wenxi
Lin’an Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311300, China
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MIAO Shihong3,4MIAO Shihong
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; Hubei Key Laboratory of Electric Power Security and High Efficiency, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Affiliation:(1.College of New Energy, Harbin Institute of Technology, Weihai 264200, China; 2.Lin’an Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311300, China; 3.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; 4.Hubei Key Laboratory of Electric Power Security and High Efficiency, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)
Clc Number:TM863
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Abstract:

With the growth of wind power grid-connected scale, power system stability is facing more challenges, necessitating efficient coordinated control techniques for wind power clusters. The basic principles of coordination in wind power cluster scenarios are analyzed, such as frequency control, power smoothing control, voltage control, and maximum power output control. On this basis, the coordinated control framework performance of decentralized, centralized, and distributed wind power clusters is analyzed, and the technical characteristics and advantages of new control frameworks are explored. Next, algorithms for coordinated control of wind power clusters are reviewed, including the fuzzy algorithm, consistency algorithm, model predictive control, alternating direction multiplier method, artificial intelligence algorithm, and swarm intelligence algorithm, and the applicable scenarios of different algorithms are discussed. Finally, the development trend of coordinated control techniques for wind power clusters is projected, and new insights into achieving interdisciplinary integration are provided.

Key words:wind farm; coordinated control; control framework; algorithm; interdisciplinary integration

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韩佶,邓钰婷,耿子越,吕文茜,苗世洪.大规模风电场协调控制架构及算法综述[J].电力科学与技术学报英文版,2025,40(1):1-18. HAN Ji, DENG Yuting, GENG Ziyue, LYU Wenxi, MIAO Shihong. Review of coordinated control architectures and algorithms for large‑scale wind farms[J]. Journal of Electric Power Science and Technology,2025,40(1):1-18.

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