Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/jspui/handle/123456789/29804 |
Resumo: | This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm |
id |
UFRN_764272dfec8773e82f0d07f68c03de3e |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/29804 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
spelling |
Silva, Daniel Marques daCosta, Flávio BezerraMiranda, VladimiroLeite, Helder2020-08-12T19:32:54Z2020-08-12T19:32:54Z2018-06-05SILVA, Daniel Marques da; COSTA, Flavio B.; MIRANDA, Vladimiro; LEITE, Helder. Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems. International Journal Of Electrical Power & Energy Systems, [S.L.], v. 104, p. 291-300, jan. 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0142061518309888?via%3Dihub. Acesso em: 08 ago. 2020. http://dx.doi.org/10.1016/j.ijepes.2018.07.011.0142-0615https://repositorio.ufrn.br/jspui/handle/123456789/2980410.1016/j.ijepes.2018.07.011ElsevierDC fault-induced transientsTraveling wavesWavelet transformFault detection and locationHVDC systemsWavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThis paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithmengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/29804/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/29804/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTWavelet-basedAnalysisDetection_COSTA_2019.pdf.txtWavelet-basedAnalysisDetection_COSTA_2019.pdf.txtExtracted texttext/plain56131https://repositorio.ufrn.br/bitstream/123456789/29804/4/Wavelet-basedAnalysisDetection_COSTA_2019.pdf.txt4973483a62eaf1c1d535332d02ab6fb4MD54THUMBNAILWavelet-basedAnalysisDetection_COSTA_2019.pdf.jpgWavelet-basedAnalysisDetection_COSTA_2019.pdf.jpgGenerated Thumbnailimage/jpeg1721https://repositorio.ufrn.br/bitstream/123456789/29804/5/Wavelet-basedAnalysisDetection_COSTA_2019.pdf.jpgaee0cf79270d3bbe6dc26e4a813975fbMD55123456789/298042023-02-07 16:42:54.568oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-02-07T19:42:54Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
title |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
spellingShingle |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems Silva, Daniel Marques da DC fault-induced transients Traveling waves Wavelet transform Fault detection and location HVDC systems |
title_short |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
title_full |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
title_fullStr |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
title_full_unstemmed |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
title_sort |
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems |
author |
Silva, Daniel Marques da |
author_facet |
Silva, Daniel Marques da Costa, Flávio Bezerra Miranda, Vladimiro Leite, Helder |
author_role |
author |
author2 |
Costa, Flávio Bezerra Miranda, Vladimiro Leite, Helder |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Silva, Daniel Marques da Costa, Flávio Bezerra Miranda, Vladimiro Leite, Helder |
dc.subject.por.fl_str_mv |
DC fault-induced transients Traveling waves Wavelet transform Fault detection and location HVDC systems |
topic |
DC fault-induced transients Traveling waves Wavelet transform Fault detection and location HVDC systems |
description |
This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018-06-05 |
dc.date.accessioned.fl_str_mv |
2020-08-12T19:32:54Z |
dc.date.available.fl_str_mv |
2020-08-12T19:32:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SILVA, Daniel Marques da; COSTA, Flavio B.; MIRANDA, Vladimiro; LEITE, Helder. Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems. International Journal Of Electrical Power & Energy Systems, [S.L.], v. 104, p. 291-300, jan. 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0142061518309888?via%3Dihub. Acesso em: 08 ago. 2020. http://dx.doi.org/10.1016/j.ijepes.2018.07.011. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/jspui/handle/123456789/29804 |
dc.identifier.issn.none.fl_str_mv |
0142-0615 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.ijepes.2018.07.011 |
identifier_str_mv |
SILVA, Daniel Marques da; COSTA, Flavio B.; MIRANDA, Vladimiro; LEITE, Helder. Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems. International Journal Of Electrical Power & Energy Systems, [S.L.], v. 104, p. 291-300, jan. 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0142061518309888?via%3Dihub. Acesso em: 08 ago. 2020. http://dx.doi.org/10.1016/j.ijepes.2018.07.011. 0142-0615 10.1016/j.ijepes.2018.07.011 |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/29804 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Repositório Institucional da UFRN |
collection |
Repositório Institucional da UFRN |
bitstream.url.fl_str_mv |
https://repositorio.ufrn.br/bitstream/123456789/29804/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/29804/3/license.txt https://repositorio.ufrn.br/bitstream/123456789/29804/4/Wavelet-basedAnalysisDetection_COSTA_2019.pdf.txt https://repositorio.ufrn.br/bitstream/123456789/29804/5/Wavelet-basedAnalysisDetection_COSTA_2019.pdf.jpg |
bitstream.checksum.fl_str_mv |
4d2950bda3d176f570a9f8b328dfbbef e9597aa2854d128fd968be5edc8a28d9 4973483a62eaf1c1d535332d02ab6fb4 aee0cf79270d3bbe6dc26e4a813975fb |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
|
_version_ |
1802117570346614784 |