• DocumentCode
    2378254
  • Title

    Simulation studies on imbalance faults of wind turbines

  • Author

    Gardels, Derek J. ; Qiao, Wei ; Gong, Xiang

  • Author_Institution
    Dept. of Civil Eng., Univ. of Nebraska-Lincoln, Omaha, NE, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the use of simulations to study imbalance faults of wind turbines. The dynamics of a model wind turbine are simulated in three different scenarios, i.e., normal operating conditions, blade imbalance, and aerodynamic asymmetry, using TurbSim and FAST. Blade imbalance is simulated by scaling the mass density of one blade which created an uneven distribution of mass with respect to the rotor. Aerodynamic asymmetry is simulated by adjusting the pitch of one blade which creates uneven torque across the rotor. The time-domain simulation results of the overall shaft torque of the wind turbine are transformed into the frequency domain using a Fast Fourier Transform (FFT). Power spectrum density (PSD) plots are then constructed to compare two imbalance fault scenarios with the normal operating conditions in the frequency domain. Results clearly show that both the blade imbalance and the aerodynamic asymmetry generate an excitation in the shaft torque at 1P, i.e., the rotating frequency of the wind turbine. This work provides preliminary results that are useful for detection of imbalance faults of wind turbines.
  • Keywords
    blades; fault simulation; time-domain analysis; wind turbines; aerodynamic asymmetry; blade imbalance; fast Fourier transform; imbalance faults; mass density scaling; mass distribution; power spectrum density; rotor; shaft torque; time-domain simulation; wind turbines; aerodynamic asymmetry; blade imbalance; imbalance fault; power spectrum density (PSD); simulation; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589500
  • Filename
    5589500