Predicting Transformer Health - PATH

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CIRED 2019 - 973.pdf (695.77 KB)

Paper number

973

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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.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

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