• DocumentCode
    2835545
  • Title

    Current vector trajectory analysis for dip voltage fault detection and identification: Application to wind generator turbine

  • Author

    Adouni, Amel ; Diallo, Demba ; Sbita, Lassaad

  • Author_Institution
    Lab. Syst. Photovoltaique, Eolien et Geothermique (SPEG), Gabes, Tunisia
  • fYear
    2015
  • fDate
    17-19 March 2015
  • Firstpage
    3226
  • Lastpage
    3231
  • Abstract
    This paper proposes a non-parametric method to detect grid voltage dip in a Wind Turbine Generator. The method is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features (amplitude variation and angle deviation) are extracted for Fault Detection and Isolation. The approach is validated through simulation results of a Doubly Fed Induction Generator. The results show that the method is robust to parameter and load variations. The fault detection time duration is less than one cycle.
  • Keywords
    asynchronous generators; fault diagnosis; vectors; wind turbines; amplitude variation; angle deviation; doubly fed induction generator; fault detection time duration; fault isolation; grid currents vector trajectory; grid voltage dip; load variations; nonparametric method; parameter variations; stationary reference frame; wind turbine generator; Fault detection; Generators; Rotors; Stators; Trajectory; Voltage fluctuations; Wind turbines; Concordia transformation; Dip voltage; Wind turbine generator; fault detection; fault identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2015 IEEE International Conference on
  • Conference_Location
    Seville
  • Type

    conf

  • DOI
    10.1109/ICIT.2015.7125575
  • Filename
    7125575