Complex network analysis of the Brazilian power grid

Detalhes bibliográficos
Autor(a) principal: Martins, Gabriela da Cruz
Data de Publicação: 2018
Outros Autores: Ribeiro, Fabiano, Oliveira, Leonardo Santos, Forgerini, Fabricio Luchesi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/33401
Resumo: In the last decades, power grids and other energy transmission networks have received attention from the network literature. In this work, we studied one of the most important static features of power grids, their topology, with focus on the Brazilian Power Grid (BPG). We obtained the spatial structure of the BPG from the ONS (Electric System National Operator), consisting of its high-voltage transmission lines, electric stations and substations. Some traits had to be ignored, such as the local low-voltage substations and as well the dynamic features of the network. We analyzed the complex network of the BPG and its statistics, such as the mean degree, the degree distribution, the network size and the clustering coefficient to characterize the complex network. We also detected critical locations in the network and, therefore, points that are more susceptible to cascading failures and even to blackouts. Our results show that the BPG is functional against random failures, regarding random removal of links and connections, in terms of the size of the largest cluster. We observe that when a fraction ρ of the links are randomly removed, the network may break down into smaller, disconnected parts. However, the largest component of the power grid remains connected. We believe that even a static study of the network topology can help to identify the critical situations and also prevent failures and possible blackouts.
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spelling Complex network analysis of the Brazilian power gridAnálise da rede complexa de distribuição de energia elétrica brasileiraPower GridComplex systemsComplex networksRede de energia elétricaSistemas complexosRedes complexasIn the last decades, power grids and other energy transmission networks have received attention from the network literature. In this work, we studied one of the most important static features of power grids, their topology, with focus on the Brazilian Power Grid (BPG). We obtained the spatial structure of the BPG from the ONS (Electric System National Operator), consisting of its high-voltage transmission lines, electric stations and substations. Some traits had to be ignored, such as the local low-voltage substations and as well the dynamic features of the network. We analyzed the complex network of the BPG and its statistics, such as the mean degree, the degree distribution, the network size and the clustering coefficient to characterize the complex network. We also detected critical locations in the network and, therefore, points that are more susceptible to cascading failures and even to blackouts. Our results show that the BPG is functional against random failures, regarding random removal of links and connections, in terms of the size of the largest cluster. We observe that when a fraction ρ of the links are randomly removed, the network may break down into smaller, disconnected parts. However, the largest component of the power grid remains connected. We believe that even a static study of the network topology can help to identify the critical situations and also prevent failures and possible blackouts.Associação Sergipana de Ciência2019-04-01T13:49:38Z2019-04-01T13:49:38Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMARTINS, G. da C. et al. Complex network analysis of the Brazilian power grid. Scientia Plena, [S. l.], v. 14, n. 10, p. 1-7, 2018. DOI: http://dx.doi.org/10.14808/sci.plena.2018.104802.http://repositorio.ufla.br/jspui/handle/1/33401Scientia Plenareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMartins, Gabriela da CruzRibeiro, FabianoOliveira, Leonardo SantosForgerini, Fabricio Luchesieng2023-05-09T17:33:56Zoai:localhost:1/33401Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-09T17:33:56Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Complex network analysis of the Brazilian power grid
Análise da rede complexa de distribuição de energia elétrica brasileira
title Complex network analysis of the Brazilian power grid
spellingShingle Complex network analysis of the Brazilian power grid
Martins, Gabriela da Cruz
Power Grid
Complex systems
Complex networks
Rede de energia elétrica
Sistemas complexos
Redes complexas
title_short Complex network analysis of the Brazilian power grid
title_full Complex network analysis of the Brazilian power grid
title_fullStr Complex network analysis of the Brazilian power grid
title_full_unstemmed Complex network analysis of the Brazilian power grid
title_sort Complex network analysis of the Brazilian power grid
author Martins, Gabriela da Cruz
author_facet Martins, Gabriela da Cruz
Ribeiro, Fabiano
Oliveira, Leonardo Santos
Forgerini, Fabricio Luchesi
author_role author
author2 Ribeiro, Fabiano
Oliveira, Leonardo Santos
Forgerini, Fabricio Luchesi
author2_role author
author
author
dc.contributor.author.fl_str_mv Martins, Gabriela da Cruz
Ribeiro, Fabiano
Oliveira, Leonardo Santos
Forgerini, Fabricio Luchesi
dc.subject.por.fl_str_mv Power Grid
Complex systems
Complex networks
Rede de energia elétrica
Sistemas complexos
Redes complexas
topic Power Grid
Complex systems
Complex networks
Rede de energia elétrica
Sistemas complexos
Redes complexas
description In the last decades, power grids and other energy transmission networks have received attention from the network literature. In this work, we studied one of the most important static features of power grids, their topology, with focus on the Brazilian Power Grid (BPG). We obtained the spatial structure of the BPG from the ONS (Electric System National Operator), consisting of its high-voltage transmission lines, electric stations and substations. Some traits had to be ignored, such as the local low-voltage substations and as well the dynamic features of the network. We analyzed the complex network of the BPG and its statistics, such as the mean degree, the degree distribution, the network size and the clustering coefficient to characterize the complex network. We also detected critical locations in the network and, therefore, points that are more susceptible to cascading failures and even to blackouts. Our results show that the BPG is functional against random failures, regarding random removal of links and connections, in terms of the size of the largest cluster. We observe that when a fraction ρ of the links are randomly removed, the network may break down into smaller, disconnected parts. However, the largest component of the power grid remains connected. We believe that even a static study of the network topology can help to identify the critical situations and also prevent failures and possible blackouts.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-04-01T13:49:38Z
2019-04-01T13:49:38Z
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 MARTINS, G. da C. et al. Complex network analysis of the Brazilian power grid. Scientia Plena, [S. l.], v. 14, n. 10, p. 1-7, 2018. DOI: http://dx.doi.org/10.14808/sci.plena.2018.104802.
http://repositorio.ufla.br/jspui/handle/1/33401
identifier_str_mv MARTINS, G. da C. et al. Complex network analysis of the Brazilian power grid. Scientia Plena, [S. l.], v. 14, n. 10, p. 1-7, 2018. DOI: http://dx.doi.org/10.14808/sci.plena.2018.104802.
url http://repositorio.ufla.br/jspui/handle/1/33401
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv 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 Associação Sergipana de Ciência
publisher.none.fl_str_mv Associação Sergipana de Ciência
dc.source.none.fl_str_mv Scientia Plena
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
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