• DocumentCode
    2828538
  • Title

    Numerical optimization algorithm for Maximum Power Point Tracking in wind Energy Conversion System

  • Author

    Elnaggar, Mahmoud M. ; Fattah, Hossam A. Abdel ; Elshafei, Abdel Latif

  • Author_Institution
    Fac. of Eng., Cairo Univ., Cairo, Egypt
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    806
  • Lastpage
    811
  • Abstract
    This paper proposes a line search numerical algorithm for Maximum Power Point Tracking (MPPT) in Wind Energy Conversion Systems (WECS). The algorithm maximizes the captured power objective function constructed via a mechanical acceleration estimator with no wind speed measurement necessary. Simulation results are included with varying wind profile, speed and air density to compare the proposed algorithm with the common kω2 feedback controller.
  • Keywords
    maximum power point trackers; optimisation; power generation control; velocity control; wind power plants; air density; maximum power point tracking; mechanical acceleration estimator; numerical optimization algorithm; power objective function; varying wind profile; wind energy conversion system; wind speed; Acceleration; Algorithm design and analysis; Generators; Rotors; Torque; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2012 IEEE International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1085-1992
  • Print_ISBN
    978-1-4673-4503-3
  • Electronic_ISBN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2012.6402469
  • Filename
    6402469
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2828538