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

Journal article (2024)

Authors

Q. Mr. Wang Hubei University of Technology, Wind Energy - Aerospace Engineering
T Xu Hubei University of Technology
D.A. von Terzi Wind Energy - Aerospace Engineering
W Xia Hubei University of Technology
Z. Wang Hubei University of Technology
Haoran Zhang Hubei University of Technology
Research Group
Wind Energy (Aerospace Engineering) (TU Delft)
Copyright: © 2024 Q. Mr. Wang, Tangjie Xu, D.A. von Terzi, Wei Xia, Zhenhai Wang, Haoran Zhang
DOI
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https://doi.org/10.1016/j.renene.2024.120044
Optimization Yaw control 3D wake model Start-stop Wind farm layout
More Info
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Published Date

2024

Language

English

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Faculty

Aerospace Engineering

Department

Flow Physics and Technology

Research Group

Wind Energy

Abstract

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.