• DocumentCode
    2320887
  • Title

    Improvement for diagnosing internal abnormalities in oil-filled transformers

  • Author

    Zama, Shigeyuki ; Kobayashi, Takayuki ; Ikeda, Jiro ; Eto, Atsushi

  • Author_Institution
    Tokyo Electr. Power Co., Tokyo
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    941
  • Lastpage
    944
  • Abstract
    The dissolved gas analysis process is among the most widely used methods of diagnosing internal transformer faults. In Japan, judgment criteria have been established from the results of a questionnaire survey on DGA for 1,324 units of operating power transformers. The traditional dissolved gas analysis method of identifying abnormal modes perdorms less well at distinguishing between abnormalities in the winding, which could lead to a transformer shutdown, and the core. Abnormalities in the winding should require immediate intervention because they could develop into dielectric breakdown faults. A gas generation test has been conducted by the conventional method and relationship between equivalent overheating areas and C2H4/C2H6 ratios. And ldquohigh-accuracy dissolved gas analysis methodrdquo implements internal diagnostics through microanalyses on the ldquoppbrdquo order to possibly improve the accuracy with which to locate gas sources in transformers. As a result, improved accuracy to locate overheating in transformers is obtained.
  • Keywords
    electric breakdown; power transformer testing; transformer oil; dielectric breakdown faults; dissolved gas analysis process; high-accuracy dissolved gas analysis method; internal abnormalities diagnosis; internal transformer faults; judgment criteria; oil-filled transformers; operating power transformers; Condition monitoring; Dielectric breakdown; Dissolved gas analysis; Fault diagnosis; Fault location; Gases; Hydrogen; Power transformers; Testing; Transformer cores; abnormality diagnosis; dissolved gas analysis; model experiment; overheating; transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580438
  • Filename
    4580438