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dc.contributor.authorMasoum, A.
dc.contributor.authorHashemnia, Seyednaser
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorMasoum, Mohammad Sherkat
dc.contributor.authorIslam, Syed
dc.contributor.editorIEEE PES Executive Office
dc.date.accessioned2017-01-30T10:44:18Z
dc.date.available2017-01-30T10:44:18Z
dc.date.created2015-05-22T08:32:21Z
dc.date.issued2014
dc.identifier.citationMasoum, A. and Hashemnia, S. and Abu-Siada, A. and Masoum, M.S. and Islam, S. 2014. Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements, in IEEE Power & Energy Society General Meeting, Jul 27 2014. National Harbor, MD, USA: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/5156
dc.identifier.doi10.1109/PESGM.2014.6939438
dc.description.abstract

This paper investigates the performance of a recently proposed on-line transformer winding short circuit fault detection approach through detailed nonlinear three-dimensional finite element modelling of windings, magnetic core and transformer tank. The technique considers correlation of instantaneous input and output voltage difference Δ V=(v1(t)-v2(t)) and instantaneous input current I=i(t) at the power frequency as a fingerprint of the transformer. The on-line measured ΔV-I locus of healthy and faulty transformer are compared to detect the internal fault. A detailed three-dimensional finite element transformer models based on the physical dimensions, parameters and magnetic core characteristics are developed and used to emulate internal winding short circuit faults and calculate the corresponding transformer ΔV-I locus. Detailed simulations and some laboratory measurements are performed and analysed to investigate the impact of winding short circuit faults on the on-line transformer ΔV-I locus.

dc.publisherIEEE
dc.subjectwinding short circuit
dc.subjectFRA and finite-element
dc.subjecton-line fault detection
dc.subjectTransformer
dc.titlePerformance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage5
dcterms.source.titlePES General Meeting | Conference & Exposition, 2014 IEEE
dcterms.source.seriesPES General Meeting | Conference & Exposition, 2014 IEEE
dcterms.source.conference2014 IEEE Power & Energy Society General Meeting
dcterms.source.conference-start-dateJul 27 2014
dcterms.source.conferencelocationNational Harbor. MD Washington, DC, USA
dcterms.source.placeUSA
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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