Synchronized optimization of wind farm start-stop and yaw control based on 3D wake model

Quan Wang*, Tangjie Xu, Dominic von Terzi, Wei Xia, Zhenhai Wang, Haoran Zhang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review


In existing wind farms, the overall power output can be increased through yaw control. However, the cooperative control of start/stop, yaw and turbines positions is often overlooked, leading to wake superposition to downstream wind turbines and suboptimal power output. This paper proposes a synchronized optimized method that considers start/stop, yaw and turbines positions control based on a three-dimensional wake model and yaw flow superposition model. The objective function of the proposed strategy is to maximize the power output of the Chapman Ranch (CR) wind farm. Four cases are considered: start-stop, yaw control, start-stop & yaw control and start-stop & yaw & turbines positions control. The particle swarm algorithm is introduced to optimize the wind farm layout. According to the results, considering start-stop, yaw and turbines positions optimization can not only increase the annual power output of the wind farm by 8.85 %, but also avoid the colliding wake in the CR wind farm. However, the other three cases will cause colliding wake in some fields of the CR wind farm. This study provides important guidance on improving the overall power output of existing wind farms.

Original languageEnglish
Article number120044
Number of pages9
JournalRenewable Energy
Publication statusPublished - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


This work was supported by the National Natural Science Foundation of China (No. 51975190 ) and the Green Industry Science and Technology Leading Plan of Hubei University of Technology for Excellent Young Scholars (No. XJ2021001201 ).


  • 3D wake model
  • Optimization
  • Start-stop
  • Wind farm layout
  • yaw control


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