Keywords
wind farm; coordinated control; control framework; algorithm; interdisciplinary integration
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.
DOI
10.19781/j.issn.1673-9140.2025.01.001
First Page
1
Last Page
18
Recommended Citation
HAN, Ji; DENG, Yuting; GENG, Ziyue; LYU, Wenxi; and MIAO, Shihong
(2025)
"Review of coordinated control architectures and algorithms for large‑scale wind farms,"
Journal of Electric Power Science and Technology: Vol. 40:
Iss.
1, Article 1.
DOI: 10.19781/j.issn.1673-9140.2025.01.001
Available at:
https://jepst.researchcommons.org/journal/vol40/iss1/1