• DocumentCode
    3483151
  • Title

    L2 robust control for brushless doubly-fed wind power generator

  • Author

    Zhang, Fengge ; Jin, Shi ; Wang, Xiuping

  • Author_Institution
    Coll. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1335
  • Lastpage
    1339
  • Abstract
    Based on the analysis of the wind turbine operation characteristics, the essence of the maximum wind energy tracking problem is transformed into the speed control problem of the generator. For the variable speed constant frequency brushless doubly-fed wind power generation system suffering from the wind energy uncertainties and instability, the model is established, and the disturbance signals are bounded by L2 norm. L2 robust control method is adopted to design a controller, which has the invariable structure and parameters to guarantee the system to meet performance requirements under the worst uncertainties. The proposed robust controller enables the generation system to be better in robustness against parameters uncertainties, to rapidly track the wind speed, and further to achieve the maximum wind energy tracking, which is helpful to enhance the wind energy efficiency.
  • Keywords
    control system synthesis; power generation control; robust control; tracking; uncertain systems; velocity control; wind power plants; wind turbines; L2 robust controller design; brushless doubly-fed wind power generator; maximum wind energy tracking problem; speed control problem; variable speed constant frequency; wind energy uncertainty; wind turbine operation characteristics; Character generation; Control systems; Frequency; Robust control; Uncertainty; Velocity control; Wind energy; Wind energy generation; Wind power generation; Wind turbines; L2 norm; brushless doubly-fed generator; maximum wind energy tracking; robust control; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262782
  • Filename
    5262782