• DocumentCode
    713198
  • Title

    Multiple switching model predictive control of variable-speed horizontal wind turbine

  • Author

    Velagic, Jasmin ; Kadric, Mirza

  • Author_Institution
    Fac. of Electr. Eng., Univ. of Sarajevo, Sarajevo, Bosnia-Herzegovina
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    338
  • Lastpage
    344
  • Abstract
    The purpose of modern wind energy conversion systems is to extract the aerodynamic power from the wind and convert it to electric power. The most popular today is variable-speed horizontal wind turbine (HWT) with three blades. The main objective of this paper is to design the controller that is capable to optimize the power output in the lower wind speed region and to maintain the rotor power limits within the high wind speed region simultaneously. In order to accomplish this task we designed a multiple switching model predictive controller (MPC) with three separate controllers for various wind speed operating regions. In order to design multiple MPC the nonlinear model of wind turbine is represented by a set of local linear models for different regions. The simulation was conducted for different controller settings to validate the effectiveness of the considered MPC in presence of different system constraints on control variables and turbulent winds acting.
  • Keywords
    nonlinear control systems; power generation control; predictive control; wind turbines; HWT; MPC; aerodynamic power; control variables; electric power; high wind speed region; local linear models; lower wind speed region; modern wind energy conversion systems; multiple switching model predictive controller; nonlinear model; power output; rotor power limits; turbulent winds acting; variable-speed horizontal wind turbine; Aerodynamics; Control systems; Generators; Rotors; Torque; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125121
  • Filename
    7125121