Deriving Transformer Equivalent Age for Power System Reliability Assessment from Asset Condition Score

Selma K.E. Awadallah, Jovica Milanovic, Paul Jarman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The paper proposes a method to derive an equivalent age from asset condition scores in order to incorporate asset condition into existing reliability assessment techniques. The method is related to end-of-life failure to inform replacement decision-making process. The paper projects the age cumulative distribution function (CDF) of a fleet of power transformers into the cumulative distribution function (CDF) of their condition scores. A relationship between condition score and age was formulated by using curve fitting techniques. Case studies were performed on a generic test system to compare system and load point reliability indices using the chronological age and the derived equivalent age. The results showed that using equivalent age resulted in different critical load points than the ones identified when using chronological age.

Original languageEnglish
Title of host publication2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728128221
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes
Event2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Liege, Belgium
Duration: 18 Aug 202021 Aug 2020

Publication series

Name2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings

Conference

Conference2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020
Country/TerritoryBelgium
CityLiege
Period18/08/2021/08/20

Keywords

  • Condition monitoring
  • condition score
  • end-of-life failure
  • power system reliability
  • transformers

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