Predicting Transformer Health - PATH

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Paper number
973
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Verdelho, Maria Inês, EDP Distribuição, Portugal
Carvalho, Cristina, EDP Distribuição, Portugal
Pinto Sá, Luís, EDP Distribuição, Portugal
Ferreira, João Vasco, EDP Distribuição, Portugal
Leitão, Armando, INESC TEC Faculdade de Engenharia Universidade do Porto, Portugal
Magalhães Dias, Luís, INESC TEC Faculdade de Engenharia Universidade do Porto, Portugal
Andrade, Xavier, INESC TEC Faculdade de Engenharia Universidade do Porto, Portugal
Guimarães, Luís, INESC TEC Faculdade de Engenharia Universidade do Porto, Portugal
Abstract
This paper presents the project PATH, Predicting Transformer Health, whose purpose was the design of health indicators to classify the current and futures condition of all HV/MV and MV/MV Power Transformers (PT) of EDP Distribuição (EDPD).We present the methodologies developed during the project to predict the condition of the transformer in a short and long term. Also, a model was developed that allows to calculate the probability of failure. In addition to automating and systematizing the process of transformer condition analysis, the models developed allow us to simultaneously incorporate the techniques already developed to signal the transformers with suspected potential faults or replacement in the near future. The models were refined using data provided by EDPD.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/229
http://dx.doi.org/10.34890/444
ISSN
2032-9644
ISBN
978-2-9602415-0-1