• DocumentCode
    2541377
  • Title

    Simulation for strategy of maximal wind energy capture of doubly fed induction generators

  • Author

    Song Le-peng ; Tang De-dong ; Wang Debiao ; Li Hui

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2010
  • fDate
    7-9 July 2010
  • Firstpage
    869
  • Lastpage
    873
  • Abstract
    In order to most effectively utilize the wind energy and improve the efficiency of wind generation system, an optimum control strategy of doublyfed induction generators (DFIG) was proposed, which made the system operation for both the maximum wind enemy captured below the rated wind speed. Based on the wind turbine characteristics and basic electromagnetic relationship of DFIG the mathematical models of the stator active power and reactive power of DFIG were derived to fulfill maximal wind energy capture and conversion. A dual-passage excitation fuzzy control strategy based on dynamic synchronous reference frame was applied to control the proposed optimal stator active and reactive power. The operational performances of the wind turbine system with DFIG with wind speed variation were analyzed and compared by using Matlab/Simulink . The results show the correctness and feasibility of the proposed control strategy.
  • Keywords
    asynchronous generators; fuzzy control; optimal control; reactive power; wind power plants; wind turbines; doubly fed induction generators; dual-passage excitation fuzzy control; maximal wind energy capture; optimum control; stator active power; stator reactive power; wind generation system; wind turbine system; Generators; Mathematical model; Torque; Wind energy; Wind power generation; Wind speed; Wind turbines; doubly fed induction generators; excited control strategy; maximal wind energy capture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8041-8
  • Type

    conf

  • DOI
    10.1109/COGINF.2010.5599789
  • Filename
    5599789