Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems

Detalhes bibliográficos
Autor(a) principal: Silva, Daniel Marques da
Data de Publicação: 2018
Outros Autores: Costa, Flávio Bezerra, Miranda, Vladimiro, Leite, Helder
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
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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
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
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