Predicting Transformer Health - PATH
Paper number
973Conference name
CIRED 2019Conference date
3-6 June 2019Conference location
Madrid, SpainPeer-reviewed
YesMetadata
Show full item recordAuthors
Verdelho, Maria Inês, EDP Distribuição, PortugalCarvalho, 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.Publisher
AIMDate
2019-06-03Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/229http://dx.doi.org/10.34890/444