• DocumentCode
    582147
  • Title

    Wind Power Generation System using fuzzy extreme seeking control

  • Author

    Qi, Chen ; Shi-Hu, Wang ; Lin-Gao, Wang

  • Author_Institution
    Fac. of Electron. & Electr. Eng., Huaiyin Inst. of Technol., Huai´´an, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    3542
  • Lastpage
    3547
  • Abstract
    Below the rated wind speed, Wind Power Generation System tracks the optimum power coefficient curve for capturing maximum wind energy, through the control of the generator speed. At present, the more mature maximum power point tracking (MPPT) control method is "hill climbing" search control method and extreme seeking control method. In analyzing the shortcomings of the above two methods, an improved MPPT control method is proposed, that is fuzzy extreme seeking control. Simulation results show that the proposed improved MPPT control method is effective, even if wind speed changes in large-scale, and the generator parameters are not accurate and detailed, the system can quickly reach the optimum position, and in the vicinity of the optimum position, the system can run smoothly.
  • Keywords
    angular velocity control; electric generators; fuzzy control; maximum power point trackers; optimal control; power generation control; wind power plants; MPPT control method; fuzzy extreme seeking control; generator parameters; generator speed control; hill climbing search control method; maximum power point tracking; optimum power coefficient curve; wind energy; wind power generation system; Electronic mail; MATLAB; Optimized production technology; Wind power generation; Wind speed; Extreme Seeking Control; Fuzzy; Maximum Power Point Tracking; Wind Power Generation System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390537