• DocumentCode
    709520
  • Title

    Dip voltage fault detection and identification for wind generator turbine farm based on current vector trajectory analysis

  • Author

    Adouni, Arnel ; Diallo, Demba ; Sbita, Lassaad

  • Author_Institution
    Syst. Photovoltaique Eolien et Geothermique Ecole Nat. d´Ing. de Gabes (SPEG), Univ. of Gabes, Gabes, Tunisia
  • fYear
    2015
  • fDate
    24-26 March 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper focuses on the voltage dip diagnosis in a Wind Generator Turbine Farm. The proposed approach is based on the analysis of the grid currents vector trajectory in the stationary reference frame. Two features are used; the diameter variation for fault detection and the angle deviation for fault isolation. The approach is validated through simulation results of a two Doubly Fed Induction Generator and generalized for N Machines.
  • Keywords
    asynchronous generators; fault diagnosis; power generation faults; wind power plants; angle deviation; current vector trajectory analysis; dip voltage fault detection; doubly fed induction generator; fault identification; fault isolation; grid currents vector trajectory; stationary reference frame; voltage dip diagnosis; wind generator turbine farm; Fault detection; Fault diagnosis; Stators; Trajectory; Voltage fluctuations; Wind energy; Wind turbines; Wind Generator Turbine Farm; current analysis; dip voltage; fault detection and identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Congress (IREC), 2015 6th International
  • Conference_Location
    Sousse
  • Type

    conf

  • DOI
    10.1109/IREC.2015.7110908
  • Filename
    7110908