Active Power Control and Load Suppression for Wind Turbines Based on a Variable-Degree-of-Freedom Framework

Structural load suppression of wind turbines is one of the important means to improve the economic efficiency of wind farm operation. However, wind turbines are complex systems coupled with multiple control variables. There is no comprehensive solution for the flexible and coordinated control of multiple controllable degrees of freedom. The main difficulty lies in the greater optimization burden of multi-degree-of-freedom systems. This paper proposes a variable degree-of-freedom control system for wind turbines, and uses multivariable model predictive control to design collaborative controllers for generator torque, pitch angle and yaw angle. To avoid the increase in complexity caused by the continuous intervention of yaw control, a yaw control cut-in/cut-out strategy is set, and the non-disturbance of switching is theoretically proved. Simulation results show that the proposed variable degree-of-freedom control system can effectively realize active power control and structural load suppression of wind turbines in a large wind speed range.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3582138
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Active Power Control and Load Suppression for Wind Turbines Based on a Variable-Degree-of-Freedom Framework

Qi Yao, Yang Hu, Yi Zhang, Fang Fang et al.
IEEE Transactions on Automation Science and Engineering
Wind Turbine Control Systems
article

Active Power Control and Load Suppression for Wind Turbines Based on a Variable-Degree-of-Freedom Framework

Qi Yao, Yang Hu, Yi Zhang, Fang Fang, Qian Song
article en

Abstract

Structural load suppression of wind turbines is one of the important means to improve the economic efficiency of wind farm operation. However, wind turbines are complex systems coupled with multiple control variables. There is no comprehensive solution for the flexible and coordinated control of multiple controllable degrees of freedom. The main difficulty lies in the greater optimization burden of multi-degree-of-freedom systems. This paper proposes a variable degree-of-freedom control system for wind turbines, and uses multivariable model predictive control to design collaborative controllers for generator torque, pitch angle and yaw angle. To avoid the increase in complexity caused by the continuous intervention of yaw control, a yaw control cut-in/cut-out strategy is set, and the non-disturbance of switching is theoretically proved. Simulation results show that the proposed variable degree-of-freedom control system can effectively realize active power control and structural load suppression of wind turbines in a large wind speed range.

IEEE Transactions on Automation Science and EngineeringVol. 22
North China Electric Power University (CN), Jinan University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 88%
Wind Turbine Control Systems
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