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dc.contributor.author
Guillen, Daniel
dc.contributor.author
Idarraga Ospina, Gina
dc.contributor.author
Mombello, Enrique Esteban
dc.contributor.author
Cabral, Sergio
dc.date.available
2018-09-27T21:00:05Z
dc.date.issued
2016-07
dc.identifier.citation
Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban; Cabral, Sergio; Partial discharges location in transformer winding using wavelets and Kullback-Leibler divergence; Elsevier Science Sa; Electric Power Systems Research; 136; 7-2016; 398-405
dc.identifier.issn
0378-7796
dc.identifier.uri
http://hdl.handle.net/11336/61135
dc.description.abstract
A new algorithm to partial discharges (PD) location in transformer windings by means of the discrete wavelets transform (DWT) and the Kullback-Leibler (KL) divergence is presented. When the insulation system of transformers has considerable damage, high levels of PD appear. A PD analysis will help to prevent and to avoid catastrophic faults in the transformer insulation system, and is also useful to quantify the damage level into it. However, it is a complex task, because PD signals have a small magnitude and are presented during some microseconds. In this paper, a lumped parameter model RLC is used to model the transformer winding and to obtain PD reference signals. The DWT is used to process those signals. PD location is finally estimated by means of the minimum entropy concept that minimizes the Kullback-Leibler (KL) divergence between PD signals (test and reference signals). Different time durations and amplitudes to the PD signals were considered. The results of computer simulation confirm the accuracy of the proposed algorithm, with an error less than 5%. Also, the algorithm is validated in a distribution transformer winding.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science Sa
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Discrete Wavelet Transform (Dwt)
dc.subject
Kullback-Leibler (Kl) Divergence
dc.subject
Partial Discharges
dc.subject
Pd Location
dc.subject
Transformer Windings
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Partial discharges location in transformer winding using wavelets and Kullback-Leibler divergence
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-27T20:16:13Z
dc.journal.volume
136
dc.journal.pagination
398-405
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Guillen, Daniel. Universidad Autónoma de Nuevo León; Mayotte
dc.description.fil
Fil: Idarraga Ospina, Gina. Universidad Autónoma de Nuevo León; Mayotte
dc.description.fil
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
dc.description.fil
Fil: Cabral, Sergio. Universidade Regional de Blumenau; Brasil
dc.journal.title
Electric Power Systems Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.epsr.2016.03.020
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378779616300670
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