• DocumentCode
    232678
  • Title

    Optimal control of PMSG wind energy convert system based on MPPT and ADRC control structure

  • Author

    Shi Yun-tao ; Kou Qi ; Qiao Shu-juan ; Sun De-hui ; Li Zheng-xi

  • Author_Institution
    Key Lab. of Beijing for Field-bus Technol. & Autom., North China Univ. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    6907
  • Lastpage
    6912
  • Abstract
    This paper proposes an optimization control scheme based on the Maximum Power Point Tracking (MPPT) strategy and Active Disturbance Rejection Control (ADRC) technique for the Permanent Magnet Synchronous Generator (PMSG) wind turbines. For ADRC parameter tuning problems of the wind turbines, this paper presents a hybrid optimization method, which combines intelligent genetic algorithm and numerical optimization of nonlinear least squares method. This method can effectively tune parameters of ADRC. With the help of the control method adopted in this paper, the PMSG wind turbines can achieve the optimal power capture.
  • Keywords
    genetic algorithms; least squares approximations; optimal control; permanent magnet generators; power control; wind power; wind turbines; ADRC control structure; ADRC parameter tuning problems; ADRC technique; MPPT strategy; PMSG wind energy convert system; PMSG wind turbines; active disturbance rejection control; hybrid optimization method; intelligent genetic algorithm; maximum power point tracking; nonlinear least squares method; numerical optimization; optimal control; optimal power capture; optimization control; permanent magnet synchronous generator; Maximum power point trackers; Optimization; Sociology; Statistics; Tuning; Wind speed; Wind turbines; ADRC control; MPPT control strategy; PMSG; hybrid optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896138
  • Filename
    6896138