• DocumentCode
    3584165
  • Title

    Power transformer aging and life extension

  • Author

    Arshad, Muhammad ; Islam, Syed M. ; Khaliq, Abdul

  • Author_Institution
    Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2004
  • Firstpage
    498
  • Lastpage
    501
  • Abstract
    Power transformer is a critical and expensive asset for any power utility. Many transformers around the world are serving close to or beyond their designed life. There is an increasing focus on maintenance and life extension of existing transformers to maximize the return on investment. Transformer failure statistics exhibit that most of the failures have occurred before reaching their rated life. Transformer failures due to dielectric problems are reported as high as 75%. Furanic compounds presence in oil provide an indication of solid dielectric deterioration. It is important to identify the deterioration stages of dielectrics and its degree of sensitivity towards aging. Ageing is also strongly dependent on temperature, oxygen and water levels in the transformer. The transformer life can be maximized by controlling these variables. This paper presents a fuzzy logic based approach to estimate the age of a power transformer using key indicators such as moisture and furanic compounds.
  • Keywords
    ageing; failure analysis; fuzzy logic; level control; oxygen; power transformer insulation; power transformer testing; reliability; sensitivity analysis; statistical analysis; temperature control; transformer oil; dielectric problem; failure statistics; furanic compound; furanic compound indicators; fuzzy logic; life assessment; maintenance extension; moisture indicators; oxygen level control; power transformer aging; power utilities; sensitivity degree; solid dielectric deterioration; temperature control; transformer oil; transformer reliability; water level control; Aging; Dielectrics; Fuzzy logic; Investments; Petroleum; Power transformers; Solids; Statistics; Temperature dependence; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378738