• DocumentCode
    3290296
  • Title

    Multiple model MIMO predictive control for variable speed variable pitch wind turbines

  • Author

    Soliman, M. ; Malik, O.P. ; Westwick, D.T.

  • Author_Institution
    Electr. Eng. Dept., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    2778
  • Lastpage
    2784
  • Abstract
    A multivariable control strategy based on model predictive control techniques for the control of variable speed variable pitch wind turbines is proposed. The proposed control strategy is described for the whole operating region of the wind turbine (both partial and full load regimes). Pitch angle and generator torque are controlled simultaneously to maximize energy capture, mitigate drive train transient loads and smooth the power generated while reducing the pitch actuator activity. This has the effect of improving the efficiency and the power quality of the electrical power generated, and of increasing the life time of the system´s mechanical parts. Furthermore, safe and acceptable operation of the system is guaranteed by incorporating most of the constraints on the physical variables of the WECS in the controller design. In order to cope with nonlinearities in the WECS and continuous variations in the operating point, a multiple model predictive controller is suggested which provides near optimal performance throughout the whole operating region.
  • Keywords
    MIMO systems; control system synthesis; electric generators; power generation control; predictive control; torque control; velocity control; wind turbines; WECS; controller design; drive train transient loads; electrical power generation; energy capture; generator torque control; mechanical parts; model predictive control techniques; multiple model MIMO predictive control; multivariable control strategy; pitch actuator activity; power quality; variable speed variable pitch wind turbines; Electric variables control; Energy capture; MIMO; Mechanical variables control; Power generation; Predictive control; Predictive models; Torque control; Wind energy generation; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531355
  • Filename
    5531355