• DocumentCode
    151076
  • Title

    Fault diagnosis of wind turbine using control loop current signals

  • Author

    Jun Hang ; Jianzhong Zhang ; Ming Cheng

  • Author_Institution
    Sch. of Electr. Eng., Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    3119
  • Lastpage
    3124
  • Abstract
    This paper presents a fault diagnosis method for direct-drive wind turbine with permanent magnet synchronous generator (D-PMSG) by using generator control loop current signals. In this method, the Vold-Kalman filtering order tracking technique is used to track the fault characteristic harmonic components from q-axis current signals. Then the envelopes of amplitudes of the fault harmonic components are calculated and applied for fault diagnosis of D-PMSG. To verify the proposed method, the simulation model is established in MATLAB/Simulink and the simulations are carried out. The results show that the proposed method is effective, where blade imbalance and winding asymmetry faults are successfully detected.
  • Keywords
    Kalman filters; electric drives; fault diagnosis; filtering theory; permanent magnet generators; power generation control; power generation faults; power system harmonics; synchronous generators; wind power plants; wind turbines; D-PMSG; MATLAB; Simulink; Vold-Kalman filtering order tracking technique; blade imbalance detection; direct-drive wind turbine; fault characteristic harmonic component tracking; fault diagnosis method; fault harmonic component amplitude envelope; generator control loop current signals; permanent magnet synchronous generator; q-axis current signals; simulation model; winding asymmetry fault detection; Fault diagnosis; Generators; Harmonic analysis; Mathematical model; Power harmonic filters; Shafts; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6953824
  • Filename
    6953824