摘要
针对双馈风力发电系统的最大功率点追踪问题,采用定子磁链定向矢量控制技术对发电机的功率进行解耦,设计了内环为电流环、外环为速度环的双闭环发电机控制系统,并在此基础上提出了基于无模型自学习控制算法的最大功率追踪方法。该方法基于发电机的输入输出数据设计无模型自学习控制器,利用此控制器实时计算出不同风速下的最佳参考转速,并以此对发电机进行调速控制,实现最大风能捕获的目的。该方法不依赖发电机的精确数学模型,避免了机理建模。通过在稳定风速及自然风速下的对比仿真实验,验证了该方法的有效性和优越性。
To address the maximum power point tracking problem of the doubly-fed wind power generation system,the power of the generator is decoupled by using the stator-flux-oriented vector control technique,and a double closed-loop generator control system with the inner loop as the current loop and the outer loop as the speed loop is designed.A maximum power tracking method based on model free adaptive learning control(MFALC)algorithm is presented.The model free adaptive learning controller is designed based on the input and output data of the generator.Using this controller,the optimal reference speed at different wind speeds is calculated in real time.Then maximum wind energy capture can be achieved by regulating the generator speed according to the optimal reference speed value.The proposed control method does not rely on the accurate mathematical model of the generator,avoiding mechanism modeling and system identification.Through the comparative simulation experi-ments under stable wind speed and natural wind speed,the effectiveness and superiority of the proposed method are verified.
作者
张英卓
林明明
ZHANG Yingzhuo;LIN Mingming(College of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,China)
出处
《青岛科技大学学报(自然科学版)》
2025年第4期121-128,共8页
Journal of Qingdao University of Science and Technology(Natural Science Edition)
基金
山东省自然科学基金联合项目(ZR2017LF008)。
关键词
双馈风力发电机
无模型自学习控制
最大功率点追踪
doubly-fed induction generator
model free adaptive learning control
maximum power point tracking
