• DocumentCode
    2602827
  • Title

    Simulation of imitation of the characteristics of wind turbine based on DC motor with Matlab

  • Author

    Gao, Liang ; Luo, Yangfan

  • Author_Institution
    Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to demonstrate the wind turbine in the laboratory, this paper first analyzed the operation principles, the power and torque characteristics of the wind turbine and direct current (DC) motor, then it investigated the operation characteristics of the wind turbine in contrast to those of the DC motor. The torque imitation scheme was provided, which imitates the torque characteristics of wind turbine by controlling the armature current of DC motor. The scheme has good performance and high feasibility. At last, the simulation of wind turbine operation characteristics was performed, the simulation was done under two typical conditions of variable wind speed and variable machine rotational velocity. The characteristics curves are presented in the paper. The simulation curves are highly consistent with theoretical datum. The torque imitation scheme of wind turbine characteristics can be conveniently used in the study of wind power generation in the laboratory.
  • Keywords
    DC motors; mathematics computing; power engineering computing; wind turbines; DC motor; Matlab; direct current motor; torque imitation scheme; variable machine rotational velocity; variable wind speed; wind power generation; wind turbine operation characteristics; Coils; DC motors; Inductance; Laboratories; Mathematical model; Torque; Voltage; Wind energy; Wind speed; Wind turbines; Direct current motor; Matlab; Simulation; Wind turbine characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348190
  • Filename
    5348190