New Methodology for Analysis and Diagnosis of Sympathetic Interaction of Inrush Currents in Power Transformers for Detecting Abnormal Operating Conditions

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dc.contributor.authorMartin, J. S.
dc.contributor.authorPontt, J.
dc.contributor.authorRodríguez, J.
dc.contributor.authorDixon Rojas, Juan
dc.date.accessioned2022-05-17T15:57:23Z
dc.date.available2022-05-17T15:57:23Z
dc.date.issued2007
dc.description.abstractThis paper presents a methodology for fast detection and identification of abnormal conditions in electrical systems. Modeling and simulation of most common operations of the system are simulated to create a database containing several patterns of performance under different abnormal operation conditions. The methodology has been tested to identify abnormal operating condition caused by sympathetic interaction of inrush currents in power transformers. Experimental validation of this method was allowing good current pattern identification and a good performance of the methodology was reached.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/ISIE.2007.4374784
dc.identifier.isbn978-1424407545
dc.identifier.issn2163-5145
dc.identifier.urihttps://doi.org/10.1109/ISIE.2007.4374784
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4374784
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64087
dc.information.autorucEscuela de Ingeniería ; Dixon Rojas, Juan ; S/I ; 99537
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofIEEE International Symposium on Industrial Electronics (2007 : Vigo, España)
dc.rightsacceso restringido
dc.subjectSurges
dc.subjectPower transformers
dc.subjectDatabases
dc.subjectPower system simulation
dc.subjectFault detection
dc.subjectElectric variables measurement
dc.subjectPower system modeling
dc.subjectMathematical model
dc.subjectCircuit faults
dc.subjectPower system faults
dc.titleNew Methodology for Analysis and Diagnosis of Sympathetic Interaction of Inrush Currents in Power Transformers for Detecting Abnormal Operating Conditionses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados99537
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