• DocumentCode
    1757498
  • Title

    Stability Analysis of Maximum Power Point Tracking (MPPT) Method in Wind Power Systems

  • Author

    Yu Zou ; Elbuluk, Malik E. ; Sozer, Yilmaz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Akron, Akron, OH, USA
  • Volume
    49
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    1129
  • Lastpage
    1136
  • Abstract
    The maximum power point tracking (MPPT) method is the key to notably improve efficiency and energy extraction in wind turbine systems. The MPPT method through the characteristic power curve is one of the popular MPPT methods. The reference current can be obtained using the relationship between power and current without requiring real-time wind speed information. This paper presents the steady-state and dynamic analyses of this MPPT method and proposes a single-pole transfer function to describe the effect of variation of wind speed on the generator speed. This is conducted by applying the small-signal analysis on a nonlinear turbine-rotor mechanical system. To verify the performance of the wind turbine system, both simulation and experimental systems are implemented based on MPPT power control. By the variation of wind speed, the behavior of the generator speed presents good consistency among the proposed theory, simulation, and experiments.
  • Keywords
    maximum power point trackers; stability; transfer functions; wind turbines; dynamic analysis; maximum power point tracking method; nonlinear turbine rotor mechanical system; single pole transfer function; small-signal analysis; stability analysis; steady-state analysis; wind power systems; wind turbine systems; Generators; Maximum power point trackers; Rotors; Stability analysis; Wind speed; Wind turbines; Doubly fed induction generator (DFIG); maximum power point tracking (MPPT) method; small-signal model; wind emulator; wind power system;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2251854
  • Filename
    6479304