• DocumentCode
    127857
  • Title

    Wind speed modelling considering high-frequency damping effect based on experimental data

  • Author

    Khodamoradi, Aram ; Kazemi Kargar, Hossein ; Nateghi, Alireza

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
  • fYear
    2014
  • fDate
    5-6 Feb. 2014
  • Firstpage
    317
  • Lastpage
    322
  • Abstract
    Changes in the velocity and direction of wind, causes to change in the turbine input power and in turn, affects the operation of the system, for instance; output voltage, power and torque of an islanded wind turbine changes proportional to wind speed variations. Therefore, accurate and reliable forecasting systems for wind speed are widely recognized as a major contribution for increasing wind penetration. This paper provides a wind speed forecasting method in order to analysis and modelling the behaviour of wind. Wind speed is first modelled considering superposition of mean speed and turbulence components then the effect of the rotor as a low- pass shaping filter is studied. This procedure could be implemented on a wind turbine simulator on account of numerical and experimental results. Finally the outcome model is applied to the wind turbine and then all procedure is simulated using MATLAB codes.
  • Keywords
    load forecasting; low-pass filters; wind turbines; MATLAB codes; experimental data; high-frequency damping effect; islanded wind turbine; low-pass shaping filter; mean speed; rotor; turbulence components; wind direction; wind penetration; wind speed forecasting method; wind speed modelling; wind velocity; Equations; Mathematical model; Numerical models; Predictive models; power spectral density; shaping filter; turbulence component; wind modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2014 5th
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/PEDSTC.2014.6799393
  • Filename
    6799393