• DocumentCode
    2707696
  • Title

    Maximum Power Point Tracking of Wind Energy Conversion Systems Based on Sliding Mode Extremum Seeking Control

  • Author

    Pan, Tinglong ; Ji, Zhicheng ; Jiang, Zhenhua

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Jiangnan Univ., Jiangnan
  • fYear
    2008
  • fDate
    17-18 Nov. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a novel maximum power point tracking (MPPT) control method for variable-speed constant-frequency wind energy conversion systems (WECS). The proposed tracking method combines the ideas of sliding mode (SM) control and extremum seeking control (ESC). The only input needed in this method is the output active power of the generator. It avoids some difficult problems in traditional tracking algorithms, such as measuring the wind velocity, needing wind-turbine model and parameters, and detecting the gradient of power vs. rotor speed. The proposed method is tested on a double fed induction generator based wind energy conversion system. The back-to-back converters connected to the generator adopt the vector control method. The simulation model of an example WECS is established in MATLAB. The reference input of speed loop in the vector control is the optimal result resulting from the MPPT based on sliding mode ESC. Simulation results confirm the validity of this method.
  • Keywords
    asynchronous generators; direct energy conversion; machine vector control; optimal control; power convertors; power generation control; tracking; variable structure systems; wind power plants; MATLAB; MPPT control method; active power; back-back converter; double fed induction generator; extremum seeking control; maximum power point tracking; sliding mode control; variable-speed constant-frequency WECS; vector control method; wind energy conversion system; Control systems; Induction generators; Mathematical model; Power generation; Power measurement; Power system modeling; Samarium; Sliding mode control; Wind energy; Wind energy generation; Extremum Seeking Control; Maximum Power Point Tracking; Sliding Mode; Wind Energy Conversion System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy 2030 Conference, 2008. ENERGY 2008. IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-2850-2
  • Electronic_ISBN
    978-1-4244-2851-9
  • Type

    conf

  • DOI
    10.1109/ENERGY.2008.4781032
  • Filename
    4781032