• DocumentCode
    232731
  • Title

    Nonlinear adaptive approach of wind power systems with stochastic disturbances

  • Author

    Liu Xiaodong ; Liu Feng ; Song Yongduan

  • Author_Institution
    Electron. Inf. Eng. Inst., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    7048
  • Lastpage
    7053
  • Abstract
    This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.
  • Keywords
    adaptive control; control nonlinearities; nonlinear control systems; power generation control; stochastic systems; wind power plants; wind turbines; WT; backstepping adaptive approach; generator torque regulation; nonlinear adaptive control strategy; numerical simulations; optimum value; parametric uncertainties; rotor speed; stochastic disturbance; stochastic disturbances; two-mass model; virtual parameters; wind power systems; wind turbine mechanical characteristic; Generators; Mathematical model; Rotors; Stochastic processes; Torque; Wind speed; Wind turbines; adaptive identification; stability; stochastic differential equation (SDE); variable-speed wind turbine (VSWT); virtual parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896163
  • Filename
    6896163