• DocumentCode
    3237264
  • Title

    Online estimation of the power coefficient in wind energy conversion systems

  • Author

    Yap, Bryan ; Dodson, L. ; Busawon, Krishna

  • Author_Institution
    Sch. of Comput. Eng. & Inf. Sci., Northumbria Univ., Newcastle upon Tyne, UK
  • fYear
    2012
  • fDate
    25-27 June 2012
  • Firstpage
    458
  • Lastpage
    463
  • Abstract
    This paper deals with the estimation of the power coefficient in a wind turbine connected to a separately excited dc generator with the aim of facilitating maximum power point tracking control design. More precisely, we bring an improvement on the observer design given in a previous work by including a possible dynamical model of the power coefficient. It is shown that the proposed observer have a better response compared to the previous observer. Additionally, it is shown that the observer is capable of handing measurement noise and that it can be easily extended to other WECS where different types of generators are employed.
  • Keywords
    DC generators; maximum power point trackers; wind turbines; dc generator; maximum power point tracking control; measurement noise; online estimation; power coefficient estimation; wind energy conversion; wind turbine; DC generators; Mathematical model; Noise; Observers; Wind speed; Wind turbines; DC generator; WECS; observer; power coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment Friendly Energies and Applications (EFEA), 2012 2nd International Symposium on
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-1-4673-2909-5
  • Electronic_ISBN
    978-1-4673-2910-1
  • Type

    conf

  • DOI
    10.1109/EFEA.2012.6294038
  • Filename
    6294038