•  
  •  
 

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

Share

COinS