Anomalies in On-Load Tap Changers: failure prevention through continuous monitoring and advanced data analysis techniques

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dc.contributor.affiliationCamlin Power Ltd
dc.contributor.affiliationElectricity North West
dc.contributor.affiliationCamlin Technologies
dc.contributor.affiliationCamlin Power Ltd
dc.contributor.authorTozzi, Marco
dc.contributor.authorCox, Steve
dc.contributor.authorChiesi, Lorenzo
dc.contributor.authorMudryk, Anatoliy
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryItaly
dc.contributor.countryUnited Kingdom
dc.contributor.detailedauthorTozzi, Marco, Camlin Power Ltd, United Kingdom
dc.contributor.detailedauthorCox, Steve , Electricity North West, United Kingdom
dc.contributor.detailedauthorChiesi, Lorenzo , Camlin Technologies, Italy
dc.contributor.detailedauthorMudryk, Anatoliy, Camlin Power Ltd, United Kingdom
dc.date.accessioned2019-07-24T12:46:24Z
dc.date.available2019-07-24T12:46:24Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractOne of the leading causes of power transformer failures is the fault of the On-Load Tap Changer (OLTC) mechanism, mainly due to issues of dielectric, thermal or mechanical nature. Offline tests can assess the tap changer condition, in particular the Dynamic Resistance Measurements and DGA, but the results can be difficult to interpret, requiring expert analysis, in addition to the need for taking the transformer out of service.Electricity North West (ENW) has run an Innovation project to maximize the use of existing assets. In particular, ENW has identified that there is a need for improving the management of repair, maintenance and replacement of OLTC in the distribution transformers.Beside the conventional offline-tests it was decided to explore the capabilities of continuous on-line monitoring devices to find out leading indicators to properly plan maintenance and avoid catastrophic and dangerous failures. A project has started consisting of installing 42 permanent monitoring system collecting, continuously, parameters such as motor current, temperatures, transformer load, tap position and vibro-acoustic signature.The raw data have been collected for months and analysed by both data scientists and transformer experts. The paper describes the results of the first data analysis, which show a potential in providing automated algorithms able to correlate a multitude of parameters, set automatically alarm thresholds and detect anomalies that need further investigation.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionNetwork components
dc.description.sessionidSession 1
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/653
dc.identifier.urihttp://dx.doi.org/10.34890/876
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleAnomalies in On-Load Tap Changers: failure prevention through continuous monitoring and advanced data analysis techniques
dc.title.number1931
dc.typeConference Proceedings
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