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.
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 fluctuation 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 variables,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.
作者
郭诗璠
刘向杰
孔小兵
马乐乐
GUO Shi-fan;LIU Xiang-jiey;KONG Xiao-bing;MA Le-le(School of Control and Computer Engineering,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)
出处
《控制理论与应用》
北大核心
2025年第12期2429-2438,共10页
Control Theory & Applications
基金
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(2023JC002,2023YQ002)资助。
关键词
风力发电系统
模型预测控制
变工作点
扰动抑制
wind energy conversion system
model predictive control
changing operating points
disturbance rejection
