• DocumentCode
    3363073
  • Title

    A recursive wavelet transform analysis of earth fault currents in Petersen-coil-protected power distribution networks

  • Author

    Chaari, Oinis ; Meunier, Michel

  • Author_Institution
    Service Electrotech. et Electron. Ind., Ecole Superieure d´´Electr., Gif-sur-Yvette, France
  • fYear
    1994
  • fDate
    25-28 Oct 1994
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    Earth-phase faults are the most frequent faults likely to occur in a power distribution network. In the case of Petersen-coil-protected power networks, meaningful information is contained in the transient fault signals and should be used in the protections to increase their speed and accuracy. An earth-phase fault is simulated with EMTP (ElectroMagnetic Transient Program). Then, a recursive wavelet transform is applied on two kinds of fault currents that are the zero-sequence currents in the faulty feeder and in the healthy one. The instantaneous time-frequency information obtained may be useful for the design of a fast relay algorithm
  • Keywords
    distribution networks; earthing; fault currents; power system protection; power system transients; time-frequency analysis; transient analysis; wavelet transforms; EMTP; Petersen-coil-protected power distribution networks; earth fault currents; earth-phase fault; electromagnetic transient program; fast relay algorithm; faulty feeder; instantaneous time-frequency information; recursive wavelet transform analysis; transient fault signal; zero-sequence currents; Algorithm design and analysis; EMTP; Earth; Electromagnetic transients; Fault currents; Power systems; Protection; Time frequency analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-2127-8
  • Type

    conf

  • DOI
    10.1109/TFSA.1994.467268
  • Filename
    467268