IMPROVED ACTIVE DISTURBANCE REJECTION FOR WIND TURBINE PITCH ANGLE CONTROL BASED ON DDPG OPTIMIZATION ALGORITHM

Xu Xiaoning, Fan Zhaoqiang, Zhou Xuesong, Tao Long, Wen Hulong, Yang Fengxia

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 575-584.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 575-584. DOI: 10.19912/j.0254-0096.tynxb.2024-1586

IMPROVED ACTIVE DISTURBANCE REJECTION FOR WIND TURBINE PITCH ANGLE CONTROL BASED ON DDPG OPTIMIZATION ALGORITHM

  • Xu Xiaoning1, Fan Zhaoqiang1, Zhou Xuesong1, Tao Long1, Wen Hulong2,3, Yang Fengxia4
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Abstract

To address the issues of poor dynamic response and insufficient adaptability of controller parameters leading to significant output power fluctuations when traditional wind turbine pitch angle control strategies are confronted with wind speed variations, an improved linear active disturbance rejection pitch angle control strategy based on Deep Deterministic Policy Gradient (DDPG) algorithm is proposed. The proposed strategy introduces an additional free expansion dimension state variable on top of the linear extended state observer (LESO) and improved the parameters of the expanded system in a proportional-derivative form to enhance the capability of disturbance feedforward compensation. Then, an appropriate reward function is designed according to the generator speed error, and the improved linear active disturbance rejection control (LADRC) parameters can be adjusted adaptively by using DDPG algorithm, so as to achieve the optimal control effect. The simulation results show that the proposed strategy can make the pitch angle quickly adapt to the changes in wind speed and effectively deal with the violent fluctuation of wind speed, therefore maintaining the stable operation of wind turbine and the efficient output of electric energy.

Key words

wind power generation / pitch angle / linear active disturbance rejection control / deep deterministic policy gradient / reward function / parameter optimization

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Xu Xiaoning, Fan Zhaoqiang, Zhou Xuesong, Tao Long, Wen Hulong, Yang Fengxia. IMPROVED ACTIVE DISTURBANCE REJECTION FOR WIND TURBINE PITCH ANGLE CONTROL BASED ON DDPG OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 575-584 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1586

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