• DocumentCode
    3524947
  • Title

    Quasilinear control approach to wind farm power control

  • Author

    Yi Guo ; Kabamba, Pierre T. ; Meerkov, Semyon M. ; Ossareh, Hamid R. ; Choon Yik Tang

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1307
  • Lastpage
    1312
  • Abstract
    Quasilinear Control (QLC) is a set of methods for analysis and design of systems with nonlinear actuators and sensors. The approach of QLC is based on the method of stochastic linearization, which replaces each nonlinearity with an equivalent gain and bias. In this paper, we apply QLC for controller design of a wind farm with multiple wind turbines. These turbines are modeled by a linear plant preceded by an asymmetric saturation nonlinearity, which accounts for limited availability of wind. It is shown, using numerical simulations, that the controllers obtained via QLC perform significantly better in a broad range of regimes as compared to those designed in our earlier work by ignoring the saturations.
  • Keywords
    control system synthesis; linear systems; linearisation techniques; power control; wind power plants; wind turbines; QLC approach; asymmetric saturation nonlinearity; controller design; linear plant; nonlinear actuators; nonlinear sensors; numerical simulations; quasilinear control approach; stochastic linearization; wind farm power control; wind turbines; Adaptation models; Control systems; Correlation; Optimization; Wind farms; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760063
  • Filename
    6760063