• DocumentCode
    3405954
  • Title

    Using Neuro Fuzzy PI techniques in wind turbine control

  • Author

    Aissaoui, A.G. ; Tahour, A. ; Abid, Mohamed ; Essounbouli, N. ; Nollet, Frederic

  • Author_Institution
    IRECOM Lab., Univ. Djilali Liabes, Sidi Bel Abbes, Algeria
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    605
  • Lastpage
    610
  • Abstract
    In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.
  • Keywords
    PI control; asynchronous generators; direct energy conversion; fuzzy control; neurocontrollers; power system control; wind power; wind turbines; induction generator; neuro fuzzy PI techniques; power controller; wind energy conversion systems; wind turbine control; Adaptation models; Equations; Induction generators; Mathematical model; Reactive power; Rotors; Wind turbines; Induction generator; Neuro-Fuzzy control; Power control; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Research and Applications (ICRERA), 2013 International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/ICRERA.2013.6749827
  • Filename
    6749827