• DocumentCode
    2319550
  • Title

    Remaining lifetime modelling for replacement of power transformer populations

  • Author

    van Schijndel, A. ; Wetzer, J.M. ; Wouters, P.A.A.F.

  • Author_Institution
    Eindhoven Univ. of Technol., Arnhem
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    597
  • Lastpage
    600
  • Abstract
    The age of the majority of power transformers applied in the western electricity network varies between 25 and 50 years. Depending on the load history and time of operation, replacement on short term is imminent. A technically sound policy concerning the replacement of these assets must be based on knowledge of (i) the life expectancy or reliability of individual components, (ii) how these failure probabilities cumulate to a replacement wave, and (iii) how to manage an expected replacement wave. The population reliability is obtained from individual transformer reliabilities using Arrhenius based modelling of paper insulation degradation. This modelling technique includes measures to cope with inherent uncertainties in available data. Population reliability figures are obtained using an adapted k-out-of-N failure model. The modelling method is applied to existing populations of power transformers in The Netherlands, to evaluate their expected replacement wave.
  • Keywords
    fault diagnosis; paper; power transformer insulation; reliability; remaining life assessment; expected replacement wave; population reliability; power transformer replacement; remaining lifetime modelling; sound policy; transformer reliabilities; western electricity network; Condition monitoring; Maintenance; Polymers; Power system modeling; Power system reliability; Power transformer insulation; Power transformers; Temperature dependence; Temperature distribution; Uncertainty; Life estimation; Maintenance; Paper insulation; Power system reliability; Power transformer insulation; Power transformers; Reliability modeling;
  • 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.2008.4580358
  • Filename
    4580358