微特电机 ›› 2023, Vol. 51 ›› Issue (3): 59-62.

• 驱动控制 • 上一篇    下一篇

基于Boost变换器的D-PMSG风力发电系统MPPT控制

蔡斌军, 何雍, 李朝旗   

  1. 湖南工程学院 电气与信息工程学院,湘潭 411104
  • 收稿日期:2022-11-22 出版日期:2023-03-28 发布日期:2023-03-27
  • 作者简介:蔡斌军(1975—),男,博士,副教授,从事风电系统控制方面科研工作。
  • 基金资助:
    湖南省自然科学基金项目(2022JJ50111)

D-PMSG Wind Power Generation System MPPT Control Based on Boost Converter

CAI Binjun, HE Yong, LI Chaoqi   

  1. School of Electrical and Information Engineering,Hunan Institute of Engineering, Xiangtan 411104,China
  • Received:2022-11-22 Online:2023-03-28 Published:2023-03-27

摘要: 为了提高直驱永磁风力发电系统的最大功率点跟踪控制性能,通过对Boost占空比变化与风力机输出特性的关系分析,提出一种基于模糊梯度步长爬山搜索法,将风力机输出转速变化量和风力机输出功率变化量作为模糊控制器的输入量,Boost变换器的占空比作为模糊控制器的输出量,实现风力机最大功率点跟踪控制。建立了系统仿真模型并进行仿真验证,结果表明,模糊梯度步长爬山搜索法能实现直驱永磁风力发电系统的最大功率点跟踪控制,控制效果优于传统变步长爬山搜索算法。

关键词: 风力发电, 直驱永磁同步发电机, 最大功率点跟踪, 模糊控制, 梯度式步长扰动

Abstract: In order to improve the maximum power point tracking(MPPT) control performance of thedirect drive permanent magnet synchronous generator(D-PMSG) system, through the analysis of the relationship between the Boost duty cycle change and the output characteristics of the wind turbine, a mountain climbing search method based on the fuzzy gradient step was proposed. The change of the wind turbine output speed and the change of the wind turbine output power were taken as the input of the fuzzy controller, and the duty cycle of the Boost converter was taken as the output of the fuzzy controller to achieve the maximum power point tracking control of the wind turbine. The simulation model of the system was established for the verification. The results show that the fuzzy gradient step mountain climbing search algorithm can realize the maximum power point tracking control of D-PMSG system, and the control effect is superior to the traditional variable step mountain climbing search algorithm.

Key words: wind power generation, direct drive permanent magnet synchronous generator(D-PMSG), maximum power point tracking(MPPT), fuzzy control, gradient step disturbance

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