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dc.contributor.authorBustamante Sánchez, Sergio 
dc.contributor.authorMartínez Lastra, José Luis
dc.contributor.authorMañana Canteli, Mario 
dc.contributor.authorArroyo Gutiérrez, Alberto 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-05-17T07:56:21Z
dc.date.available2024-05-17T07:56:21Z
dc.date.issued2024
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/10902/32869
dc.description.abstractPower transformers are the most important and expensive assets in high-voltage power systems. To ensure an adequate level of reliability throughout the transformer’s lifetime, its maintenance strategy must be well defined. When an incipient fault occurs in the transformer insulation, a gas concentration pattern, representative of the type of fault, is generated. Fault-identification methods use gas concentrations and their ratios to identify the type of fault. None of the traditional or new fault-identification methods attempt to detect transformer oil contamination from on-load tap changer (OLTC) gases. In this study, from dissolved gas analysis (DGA) samples of transformers identified as contaminated in a previous study, fault-identification methods based on graphical representations were used to observe the patterns of results. From such patterns, Duval’s triangle and pentagon methods were modified to include a new zone indicating oil contamination (OC) from OLTC gases. Finally, the proposed modifications were validated using 75 DGA samples extracted from previous studies that were identified as D1 or D2 faults or contaminated from OLTC. This validation showed that only 14.7% and 13.3% of the DGA samples fell within the new OC zone of the proposed triangle and pentagon, respectively.es_ES
dc.description.sponsorshipThis study was partially funded by the FLEXIGRID project from the European Union’s Horizon 2020 research and innovation programme [grant number 864579].es_ES
dc.format.extent19 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution ( CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceElectronics, 2024, 13(7), 1338es_ES
dc.subject.otherCommunicating OLTCes_ES
dc.subject.otherDissolved gas analysises_ES
dc.subject.otherFault-identification methodes_ES
dc.subject.otherOil insulationes_ES
dc.subject.otherPower transformeres_ES
dc.titleDistinction between arcing faults and oil contamination from OLTC gaseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/864579/EU/Interoperable solutions for implementing holistic FLEXIbility services in the distribution GRID/FLEXIGRID/es_ES
dc.identifier.DOI10.3390/electronics13071338
dc.type.versionpublishedVersiones_ES


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Mostrar el registro sencillo

© 2024  by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution ( CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution ( CC BY) license.