• DocumentCode
    2718186
  • Title

    Maximum-power tracking of wind energy conversion systems based on fuzzy algorithms

  • Author

    Azzouz, Maher ; Elshafei, Abdel-Latif ; Emara, Hasan

  • Author_Institution
    Electr. Power & Machines Dept., Cairo Univ., Cairo, Egypt
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    481
  • Lastpage
    486
  • Abstract
    Fuzzy logic is a convenient approach to construct maximum power-point tracking algorithms. A new scheme composed of two fuzzy systems is proposed here. The first fuzzy system is based on a modified hill climb search algorithm to conclude the power set-point. The second fuzzy system is an adaptive PI-like controller that uses a variable structure tuning algorithm to track the power set-point. Simulations show that the proposed scheme can improve the system efficiency.
  • Keywords
    PI control; adaptive control; direct energy conversion; fuzzy logic; fuzzy systems; variable structure systems; wind power; adaptive PI-like controller; fuzzy algorithms; fuzzy logic; fuzzy systems; maximum power-point tracking algorithms; modified hill climb search algorithm; variable structure tuning algorithm; wind energy conversion systems; Adaptation model; Adaptive systems; Fuzzy systems; Mathematical model; Rotors; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2010 IEEE International Symposium on
  • Conference_Location
    Yokohama
  • ISSN
    2158-9860
  • Print_ISBN
    978-1-4244-5360-3
  • Electronic_ISBN
    2158-9860
  • Type

    conf

  • DOI
    10.1109/ISIC.2010.5612919
  • Filename
    5612919