Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/49711 |
Resumo: | This paper proposes a methodology for establishing base values for short-term voltage variation indices. The work is focused on determining which variables best describe the disturbance and based on that, establish clusters that allow a more adequate definition of base values for the indices. To test the proposed methodology, real data from 19 distribution systems belonging to a Brazilian electricity utility were used and consequently the index presented in the country standard was considered. This study presents a general methodology that can be applied to all distribution systems in Brazil and could serve as a guide for the regulatory agencies in other countries, to establish base values for their indices. Furthermore, the objective is to show through the results that, with the database used is possible to establish clusters of distribution systems related to the voltage sag and with these establish a base impact factor, distinct for each distribution system. View Full-Text |
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Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation IndicesPower qualityVoltage sagClustering analysisIndexThis paper proposes a methodology for establishing base values for short-term voltage variation indices. The work is focused on determining which variables best describe the disturbance and based on that, establish clusters that allow a more adequate definition of base values for the indices. To test the proposed methodology, real data from 19 distribution systems belonging to a Brazilian electricity utility were used and consequently the index presented in the country standard was considered. This study presents a general methodology that can be applied to all distribution systems in Brazil and could serve as a guide for the regulatory agencies in other countries, to establish base values for their indices. Furthermore, the objective is to show through the results that, with the database used is possible to establish clusters of distribution systems related to the voltage sag and with these establish a base impact factor, distinct for each distribution system. View Full-TextMultidisciplinary Digital Publishing Institute - MDPI2022-04-07T21:23:18Z2022-04-07T21:23:18Z2020-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSOUZA, P. V. G. de et al. Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices. Energies, [S. I.], v. 14, n. 1, 2021. DOI: 10.3390/en14010149.http://repositorio.ufla.br/jspui/handle/1/49711Energiesreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSouza, Paulo Vitor Grillo deCarvalho Filho, José Maria deFerreira, Daniel FurtadoMiranda Filho, JacquesRibeiro Filho, Homero KraussPereira, Natanael Barbosaeng2023-05-26T19:38:15Zoai:localhost:1/49711Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:38:15Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
title |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
spellingShingle |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices Souza, Paulo Vitor Grillo de Power quality Voltage sag Clustering analysis Index |
title_short |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
title_full |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
title_fullStr |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
title_full_unstemmed |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
title_sort |
Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices |
author |
Souza, Paulo Vitor Grillo de |
author_facet |
Souza, Paulo Vitor Grillo de Carvalho Filho, José Maria de Ferreira, Daniel Furtado Miranda Filho, Jacques Ribeiro Filho, Homero Krauss Pereira, Natanael Barbosa |
author_role |
author |
author2 |
Carvalho Filho, José Maria de Ferreira, Daniel Furtado Miranda Filho, Jacques Ribeiro Filho, Homero Krauss Pereira, Natanael Barbosa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Souza, Paulo Vitor Grillo de Carvalho Filho, José Maria de Ferreira, Daniel Furtado Miranda Filho, Jacques Ribeiro Filho, Homero Krauss Pereira, Natanael Barbosa |
dc.subject.por.fl_str_mv |
Power quality Voltage sag Clustering analysis Index |
topic |
Power quality Voltage sag Clustering analysis Index |
description |
This paper proposes a methodology for establishing base values for short-term voltage variation indices. The work is focused on determining which variables best describe the disturbance and based on that, establish clusters that allow a more adequate definition of base values for the indices. To test the proposed methodology, real data from 19 distribution systems belonging to a Brazilian electricity utility were used and consequently the index presented in the country standard was considered. This study presents a general methodology that can be applied to all distribution systems in Brazil and could serve as a guide for the regulatory agencies in other countries, to establish base values for their indices. Furthermore, the objective is to show through the results that, with the database used is possible to establish clusters of distribution systems related to the voltage sag and with these establish a base impact factor, distinct for each distribution system. View Full-Text |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12 2022-04-07T21:23:18Z 2022-04-07T21:23:18Z |
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.uri.fl_str_mv |
SOUZA, P. V. G. de et al. Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices. Energies, [S. I.], v. 14, n. 1, 2021. DOI: 10.3390/en14010149. http://repositorio.ufla.br/jspui/handle/1/49711 |
identifier_str_mv |
SOUZA, P. V. G. de et al. Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices. Energies, [S. I.], v. 14, n. 1, 2021. DOI: 10.3390/en14010149. |
url |
http://repositorio.ufla.br/jspui/handle/1/49711 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute - MDPI |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute - MDPI |
dc.source.none.fl_str_mv |
Energies reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815439138427502592 |