引用本文:郭诗璠,刘向杰,孔小兵,马乐乐.不确定风力发电系统的稳定随机模型预测控制[J].控制理论与应用,2025,42(12):2429~2438.[点击复制]
GUO Shi-fan,LIU Xiang-jie,KONG Xiao-bing,MA Le-le.Stable stochastic model predictive control for uncertain wind energy conversion system[J].Control Theory & Applications,2025,42(12):2429~2438.[点击复制]
不确定风力发电系统的稳定随机模型预测控制
Stable stochastic model predictive control for uncertain wind energy conversion system
摘要点击 132  全文点击 17  投稿时间：2024-07-03  修订日期：2025-09-11
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DOI编号  10.7641/CTA.2025.40353
  2025,42(12):2429-2438
中文关键词  风力发电系统  模型预测控制  变工作点  扰动抑制
英文关键词  wind energy conversion system  model predictive control  changing operating points  disturbance rejection
基金项目  国家重点研发计划项目(2021YFE0190900),国家自然科学基金项目(62473150,62573192,62573194),中央高校基金项目(2023JC002,2023YQ00 2)资助.
作者单位E-mail
郭诗璠 华北电力大学新能源电力系统全国重点实验室控制与计算机工程学院 guoshifan@ncepu.edu.cn 
刘向杰* 华北电力大学新能源电力系统全国重点实验室控制与计算机工程学院 liuxj@ncepu.edu.cn 
孔小兵 华北电力大学新能源电力系统全国重点实验室控制与计算机工程学院  
马乐乐 华北电力大学新能源电力系统全国重点实验室控制与计算机工程学院  
中文摘要
      风速的随机不确定性为风力发电系统实现稳定功率控制带来了巨大挑战.鉴于随机模型预测控制在处理 概率形式不确定性方面的显著优势,其已被广泛应用于风力发电系统的功率控制中.然而,风速的波动特性会导致 风力发电系统工作点频繁变动,而传统的随机模型预测控制方法通常仅能在预设的单一工作点下确保系统的可行 性和稳定性.为了解决上述问题,本文提出了一种针对不确定风力发电系统的稳定随机模型预测控制策略,旨在确 保风力发电系统在全运行区域内,无论工作点如何变化,都能维持其可行性和稳定性.通过集成Luenberger观测器 来估计由线性化过程引入的模型失配,并结合基于Tube的控制框架来应对随机风速扰动.此外,通过将人工稳态目 标作为优化变量以确保随机模型预测控制策略的可行性,并通过调整目标函数和扩展终端约束来保证风力发电系 统的稳定性.最后,通过不同场景下的仿真和FAST实验验证了所提出策略的有效性.
英文摘要
      The stochastic uncertainty of wind speed presents a great challenge for achieving stable power control in wind energy conversion system (WECS). Due to the excellence in handling the uncertainties based on probabilistic descriptions, stochastic model predictive control (SMPC) has been widely applied in the power control of WECS. However, the fluctua tion characteristic of wind speed can lead to frequent changes in the operating points of WECS, and the traditional SMPC can only ensure the feasibility and stability of WECS at one single predesigned operating point. To address the above issue, a stable SMPC strategy for uncertain WECS is proposed in this paper to ensure the feasibility and stability of WECS under changing operating points over the whole operating regions. A Luenberger observer is employed to estimate model-plant mismatch introduced by linearization process, while a tube-based control framework is deployed to cope with stochastic wind speed disturbance. The feasibility of SMPC is ensured by incorporating artificial steady targets as optimization vari ables, while the stability of WECS is guaranteed by modifying the cost function and extending the terminal constraint. The effectiveness of the proposed strategy is validated through simulations and experiments by fatigue, aerodynamics, structures and turbulence (FAST) under different scenarios.