Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter

Autores
Quispe, Juan Carlos; Morales Garcia, John Armando; Orduna, Eduardo; Liebermann, Carlo; Bruhns, Michael; Schegner, Peter
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore, this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently, wide spectra of signals in the time–frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw, where simulation and test signals are developed for different locations, fault resistances, inception angles, high frequency noises, sampling frequencies, types of faults, and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency, location, and starting time.
Fil: Quispe, Juan Carlos. Universidad Nacional de San Juan; Argentina. Universidad Tecnológica del Perú; Perú
Fil: Morales Garcia, John Armando. 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
Fil: Orduna, Eduardo. Universidad Nacional de San Juan; Argentina
Fil: Liebermann, Carlo. Technische Universität Dresden; Alemania
Fil: Bruhns, Michael. Technische Universität Dresden; Alemania
Fil: Schegner, Peter. Technische Universität Dresden; Alemania
Materia
DIGITAL FILTER
HIGH FREQUENCY
MATHEMATICAL MORPHOLOGY
TIME–FREQUENCY
TRAVELING WAVES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/227623
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flterQuispe, Juan CarlosMorales Garcia, John ArmandoOrduna, EduardoLiebermann, CarloBruhns, MichaelSchegner, PeterDIGITAL FILTERHIGH FREQUENCYMATHEMATICAL MORPHOLOGYTIME–FREQUENCYTRAVELING WAVEShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore, this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently, wide spectra of signals in the time–frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw, where simulation and test signals are developed for different locations, fault resistances, inception angles, high frequency noises, sampling frequencies, types of faults, and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency, location, and starting time.Fil: Quispe, Juan Carlos. Universidad Nacional de San Juan; Argentina. Universidad Tecnológica del Perú; PerúFil: Morales Garcia, John Armando. 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; ArgentinaFil: Orduna, Eduardo. Universidad Nacional de San Juan; ArgentinaFil: Liebermann, Carlo. Technische Universität Dresden; AlemaniaFil: Bruhns, Michael. Technische Universität Dresden; AlemaniaFil: Schegner, Peter. Technische Universität Dresden; AlemaniaSpringer2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227623Quispe, Juan Carlos; Morales Garcia, John Armando; Orduna, Eduardo; Liebermann, Carlo; Bruhns, Michael; et al.; Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter; Springer; Protection and Control of Modern Power Systems; 8; 1; 5-2023; 1-142367-0983CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pcmp.springeropen.com/articles/10.1186/s41601-023-00294-xinfo:eu-repo/semantics/altIdentifier/doi/10.1186/s41601-023-00294-xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:30Zoai:ri.conicet.gov.ar:11336/227623instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:28:31.101CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
title Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
spellingShingle Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
Quispe, Juan Carlos
DIGITAL FILTER
HIGH FREQUENCY
MATHEMATICAL MORPHOLOGY
TIME–FREQUENCY
TRAVELING WAVES
title_short Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
title_full Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
title_fullStr Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
title_full_unstemmed Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
title_sort Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter
dc.creator.none.fl_str_mv Quispe, Juan Carlos
Morales Garcia, John Armando
Orduna, Eduardo
Liebermann, Carlo
Bruhns, Michael
Schegner, Peter
author Quispe, Juan Carlos
author_facet Quispe, Juan Carlos
Morales Garcia, John Armando
Orduna, Eduardo
Liebermann, Carlo
Bruhns, Michael
Schegner, Peter
author_role author
author2 Morales Garcia, John Armando
Orduna, Eduardo
Liebermann, Carlo
Bruhns, Michael
Schegner, Peter
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv DIGITAL FILTER
HIGH FREQUENCY
MATHEMATICAL MORPHOLOGY
TIME–FREQUENCY
TRAVELING WAVES
topic DIGITAL FILTER
HIGH FREQUENCY
MATHEMATICAL MORPHOLOGY
TIME–FREQUENCY
TRAVELING WAVES
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore, this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently, wide spectra of signals in the time–frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw, where simulation and test signals are developed for different locations, fault resistances, inception angles, high frequency noises, sampling frequencies, types of faults, and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency, location, and starting time.
Fil: Quispe, Juan Carlos. Universidad Nacional de San Juan; Argentina. Universidad Tecnológica del Perú; Perú
Fil: Morales Garcia, John Armando. 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
Fil: Orduna, Eduardo. Universidad Nacional de San Juan; Argentina
Fil: Liebermann, Carlo. Technische Universität Dresden; Alemania
Fil: Bruhns, Michael. Technische Universität Dresden; Alemania
Fil: Schegner, Peter. Technische Universität Dresden; Alemania
description The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system. Therefore, this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis. The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index. Consequently, wide spectra of signals in the time–frequency domain are obtained. The performance of this method is verified on an electrical power system modeled in ATP-Draw, where simulation and test signals are developed for different locations, fault resistances, inception angles, high frequency noises, sampling frequencies, types of faults, and shapes of the structuring element. The results show the characteristics of the fault such as the traveling wave frequency, location, and starting time.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/227623
Quispe, Juan Carlos; Morales Garcia, John Armando; Orduna, Eduardo; Liebermann, Carlo; Bruhns, Michael; et al.; Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter; Springer; Protection and Control of Modern Power Systems; 8; 1; 5-2023; 1-14
2367-0983
CONICET Digital
CONICET
url http://hdl.handle.net/11336/227623
identifier_str_mv Quispe, Juan Carlos; Morales Garcia, John Armando; Orduna, Eduardo; Liebermann, Carlo; Bruhns, Michael; et al.; Time–frequency multiresolution of fault-generated transient signals in transmission lines using a morphological flter; Springer; Protection and Control of Modern Power Systems; 8; 1; 5-2023; 1-14
2367-0983
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pcmp.springeropen.com/articles/10.1186/s41601-023-00294-x
info:eu-repo/semantics/altIdentifier/doi/10.1186/s41601-023-00294-x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614288664166400
score 13.070432

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