• DocumentCode
    3561166
  • Title

    Multiple Model Predictive Control for Wind Turbines With Doubly Fed Induction Generators

  • Author

    Soliman, Mostafa ; Malik, O.P. ; Westwick, David T.

  • Author_Institution
    Electr. Eng. Dept., Univ. of Calgary, Calgary, AB, Canada
  • Volume
    2
  • Issue
    3
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    215
  • Lastpage
    225
  • 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, i.e., 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 increasing the life expectancy of the installation. Furthermore, safe and acceptable operation of the system is guaranteed by incorporating most of the constraints on the physical variables of the wind energy conversion system (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 acceptable performance throughout the whole operating region.
  • Keywords
    angular velocity control; asynchronous generators; multivariable control systems; power generation control; predictive control; torque control; wind power plants; wind turbines; WECS; doubly fed induction generators; generator torque control; model predictive control; multivariable control; pitch angle control; power quality; variable pitch control; variable speed control; wind energy conversion system; wind turbines; Aerodynamics; Control systems; Generators; Predictive models; Torque; Wind speed; Wind turbines; Doubly fed induction generators (DFIGs); predictive control; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    5/12/2011 12:00:00 AM
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2011.2153217
  • Filename
    5765727