• DocumentCode
    2426325
  • Title

    Medium power wind mill control for stand alone energy generation

  • Author

    Ba, O. ; Depernet, D. ; Ndiaye, P. ; Berthon, A.

  • Author_Institution
    CIFRES, Univ. of Dakar, Dakar, Senegal
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    2249
  • Lastpage
    2254
  • Abstract
    This paper will propose the study of a the control of a coupled wind turbine to a stand alone electric generator based on other renewable energies and storage systems. In this study a new method has been investigated to design the maximum power point tracking (MPPT) in order to have a good efficiency with a simple approach. From the wind mill characteristics, in particular its power rate, we propose to drive the wind mill at optimal power by a dichotomy algorithm in association with the vector control of the asynchronous generator. Simulation results will be confronted to published results, issued from method developed by different authors. A test bench has also been carried out at reduced scale. The test bench will use a DSP (digital signal processor) board on which the new algorithm has been implemented. Software development has been carried out using Matlab-Simulink environment.
  • Keywords
    asynchronous generators; machine vector control; power generation control; wind power plants; wind turbines; DSP board; Matlab-Simulink; asynchronous generator; coupled wind turbine; dichotomy algorithm; digital signal processor; maximum power point tracking; medium power wind mill control; renewable energies; stand alone electric generator; stand alone energy generation; vector control; Control systems; Energy storage; Generators; Milling machines; Power generation; Signal processing algorithms; Testing; Wind energy generation; Wind power generation; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157777
  • Filename
    5157777