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
Link To Document