• DocumentCode
    2413193
  • Title

    A novel Maximum Power Points Tracking (MPPT) operation of doubly-fed induction generator (DFIG) wind power system

  • Author

    Zou, Yu ; Elbuluk, Malik ; Sozer, Yilmaz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
  • fYear
    2012
  • fDate
    7-11 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    To extract power more efficiently, Maximum Power Point Tracking (MPPT) methods are always applied in variable-speed generator wind power systems. However, due to the fast wind speed variation, fast and real-time calculations of optimal system operation points are difficult to achieve. Also, the dependence of optimal references on the system model can hardly be removed. This paper proposes a novel real-time MPPT algorithm which simply updates the reference power curve by tuning the curve coefficients. Due to the independence on system model, this method is immune to the potential system variations and thus robust. To verify its performance, the proposed algorithm is simulated in Matlab/Simulink and experimentally tested on doubly-fed induction generator (DFIG) wind power system. Both simulation and experimental results validate the proposed method.
  • Keywords
    asynchronous generators; maximum power point trackers; wind power plants; DFIG wind power system; MPPT method; Matlab-Simulink simulation; curve coefficients; doubly-fed induction generator; fast wind speed variation; maximum power point tracking method; real-time MPPT algorithm; reference power curve; variable-speed generator; Decision support systems; Induction generators; Tracking; Wind power generation; Doubly-Fed Induction Generator; Maximum Power Point Tracking (MPPT); Wind Emulator; Wind Power System Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting (IAS), 2012 IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4673-0330-9
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2012.6374022
  • Filename
    6374022