• DocumentCode
    3369216
  • Title

    Single neuron controller of VSCF wind power generation system

  • Author

    Chunqing, Qi ; Yong, Yang ; Ji, Suo

  • Author_Institution
    Dept. of Electron. Inf. Eng., Suzhou Vocational Univ., Suzhou, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    493
  • Lastpage
    497
  • Abstract
    Aiming to the stator active power PI regulator being low adjusting capacity, the paper presents single neuron controller instead of stator active power PI regulator in Variable-speed Constant-Frequency (VSCF) wind power generation system, which is based on the dynamic mathematic model of doubly-fed machine and the stator-flux orientated vector control. This system realizes active power and reactive power decoupling and maximal wind power tracking. Compared with the traditional system, the new system has fast active power tracking and no overshoot. The simulation results show the novel system has a good dynamic and a static performance, which proves the feasibility and correctness of the control strategy.
  • Keywords
    PI control; machine vector control; neurocontrollers; power generation control; reactive power control; stators; variable speed drives; wind power; VSCF wind power generation system; doubly-fed machine; dynamic mathematic model; maximal wind power tracking; reactive power decoupling; single neuron controller; stator active power PI regulator; stator-flux; variable-speed constant-frequency; vector control; Control systems; Machine vector control; Mathematical model; Mathematics; Neurons; Power system modeling; Reactive power; Regulators; Stators; Wind power generation; Stator-flux orientated; VSCF; decoupling control; maximal wind tracking; single neuron controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246509
  • Filename
    5246509