DDPG优化算法的改进型自抗扰风电机组桨距角控制

徐晓宁, 范召强, 周雪松, 陶珑, 问虎龙, 杨风霞

太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 575-584.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 575-584. DOI: 10.19912/j.0254-0096.tynxb.2024-1586

DDPG优化算法的改进型自抗扰风电机组桨距角控制

  • 徐晓宁1, 范召强1, 周雪松1, 陶珑1, 问虎龙2,3, 杨风霞4
作者信息 +

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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文章历史 +

摘要

为解决传统风电机组桨距角控制策略面对风速变化时存在动态响应差以及控制器参数适应性不足导致输出功率波动大的问题,提出一种基于深度确定性策略梯度(DDPG)算法的改进型线性自抗扰桨距角控制策略。该策略在线性扩张状态观测器(LESO)基础上引入自由扩张维度的状态变量,并对增阶后的参数基于比例微分形式进行改进,以提高对扰动的顺馈矫正能力。随后根据发电机转速误差设计合适的奖励函数,利用DDPG算法使改进后的线性自抗扰控制(LADRC)参数能够自适应调整,实现最优的控制效果。仿真结果表明,所提策略能有效应对风速剧烈波动,使桨距角能快速适应风速变化,从而维持风电机组的稳定运行和电能的高效输出。

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.

关键词

风电机组 / 桨距角 / 线性自抗扰控制 / 深度确定性策略梯度 / 奖励函数 / 参数整定

Key words

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

引用本文

导出引用
徐晓宁, 范召强, 周雪松, 陶珑, 问虎龙, 杨风霞. DDPG优化算法的改进型自抗扰风电机组桨距角控制[J]. 太阳能学报. 2026, 47(1): 575-584 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1586
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
中图分类号: TM614   

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天津市科技计划(23YDTPJC00530)

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