• DocumentCode
    2310885
  • Title

    Evaluation of fuzzy-based maximum power tracking in wind energy conversion systems (WECS)

  • Author

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

  • Author_Institution
    Electr. Power & Machines Dept., Cairo Univ., Giza, Egypt
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Intelligent control techniques can play a pivotal role in improving the performance and the efficiency of wind energy conversion systems (WECS). A new scheme composed of two fuzzy systems is proposed here to achieve this goal. The first fuzzy system mimics the hill climb search technique to yield the maximum power as a set point. The second fuzzy system is an adaptive PI-like controller that tracks the set point. Simulation results show that the proposed algorithm can significantly improve the efficiency.
  • Keywords
    PI control; adaptive control; fuzzy systems; maximum power point trackers; power generation control; search problems; wind power; adaptive PI-like controller; fuzzy systems; fuzzy-based maximum power tracking; hill climb search technique; wind energy conversion systems; Fuzzy systems; Mathematical model; Niobium; Power systems; Rotors; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584571
  • Filename
    5584571