• DocumentCode
    506524
  • Title

    Performance enhancement of grid-connected fixed speed wind energy conversion systems (WECS)

  • Author

    Sugiarto, S. ; Abu-Siada, A. ; Islam, S.

  • Author_Institution
    Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2009
  • fDate
    27-30 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wind power generation is regarded as the most promising of all renewable energy supply to meet the global commitment to climate change. Of all wind power technologies, the fixed speed system employing the rugged squirrel cage induction generators (SCIGs) are the cheapest and simplest for grid connection. While the self excitable induction generator behavior in stand alone circumstances has been studied in detail, not much attention has been given to the efficiency optimization of the grid connected wind turbine driven SCIGs. In this paper, a novel optimal energy extraction scheme of fixed speed system is proposed within the tolerable speed and voltage range of the SCIGs. The proposed technique doesn´t employ any expensive power converter or inverter arrangements but exploits the capability of the existing equipment.
  • Keywords
    asynchronous generators; energy conservation; renewable energy sources; squirrel cage motors; wind power; wind turbines; Performance enhancement; climate change; energy extraction; grid connection; grid-connected fixed speed wind energy conversion systems (WECS); power converter; power inverter; renewable energy supply; squirrel cage induction generators; wind power generation; wind turbine; Capacitors; Costs; Induction generators; Power generation; Reactive power; Rotors; Voltage; Wind energy; Wind energy generation; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2009. AUPEC 2009. Australasian Universities
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4244-5153-1
  • Electronic_ISBN
    978-0-86396-718-4
  • Type

    conf

  • Filename
    5357136