• DocumentCode
    2341503
  • Title

    Nonlinear Model Predictive control (NMPC) of fixed pitch variable speed wind turbine

  • Author

    Dang, D.Q. ; Wang, Y. ; Cai, W.

  • Author_Institution
    Sch. of Electr. Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2008
  • fDate
    24-27 Nov. 2008
  • Firstpage
    29
  • Lastpage
    33
  • Abstract
    Wind power has become one of the most attractive energy systems in several decades due to its rich wind power available and high turn back value than other types of renewable energy systems. The classical wind turbines are normally fixed pitch constant speed which have less power efficient and high dynamics loads that results in reducing life cycle of system. To overcome this disadvantage, modern generation of wind turbine with variable speed is now widely used. However, wind energy conversion system that includes complex combination of aero dynamics and electrical phenomena together with anonymous action of wind speed making control system sophisticated. Despite if a great deal of research has been focus on wind turbines in the literature. In this paper, we present advanced control algorithm Nonlinear Model Predictive Control (NMPC) regulating shaft speed to capture as much as possible power and keep it below maximum level at high wind speed. Because of the limitation of power electronics devices, the generation torque is also restricted below maximum value. All these constraints are naturally handled by NMPC algorithm which is promising control theory interested by many researchers resent years. The algorithm is validated by simulation and later is hardware realization of controller.
  • Keywords
    power generation control; predictive control; torque control; wind power plants; wind turbines; advanced control algorithm; fixed pitch variable speed wind turbine; generation torque control; nonlinear model predictive control; renewable energy systems; wind energy conversion system; wind power; Aerodynamics; Nonlinear dynamical systems; Power system modeling; Predictive control; Predictive models; Renewable energy resources; Wind energy; Wind energy generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1887-9
  • Electronic_ISBN
    978-1-4244-1888-6
  • Type

    conf

  • DOI
    10.1109/ICSET.2008.4746967
  • Filename
    4746967