• DocumentCode
    1116646
  • Title

    Development of detection and diagnostic techniques for partial discharges in GIS

  • Author

    Oyama, M. ; Hanai, E. ; Aoyagi, H. ; Murase, H. ; Ohshima, I. ; Menju, S.

  • Author_Institution
    Toshiba Corp., Kawasaki, Japan
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    811
  • Lastpage
    818
  • Abstract
    This paper describes detection and diagnostic techniques for partial discharges in gas insulated substations (GIS). Partial-discharge current waveforms of SF6 gas and external noise characteristics of actual substations were investigated, and a measuring system having sensors in GIS and employing frequency range of VHF band was developed. By this system, detecting very small partial discharges of several 10 pC level has become possible. Also, a neural network system, focusing attention as a method for recognizing patterns, was applied for determining causes for partial discharge in GIS, and its applicability has been proved
  • Keywords
    charge measurement; electric current measurement; gaseous insulation; neural nets; partial discharges; power engineering computing; substations; sulphur compounds; GIS; SF6; SF6 gas; VHF band; detection techniques; diagnostic techniques; external noise characteristics; gas insulated substations; neural network system; partial discharges; partial-discharge current waveforms; pattern recognition; Current measurement; Frequency measurement; Gas detectors; Gas insulation; Geographic Information Systems; Noise measurement; Partial discharge measurement; Partial discharges; Sensor phenomena and characterization; Substations;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.296261
  • Filename
    296261