Genetic algorithms applied to a faster distance protection of transmission lines
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Sba: Controle & Automação Sociedade Brasileira de Automatica |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000400002 |
Resumo: | The main purpose of this paper is to implement a new methodology based on Genetic Algorithms (GAs) to extract the fundamental voltage and current phasors from noisy waves in power systems to be applied to a faster distance protection. GAs solve optimization problems based on natural selection principles. This application was then formulated as an optimization problem, and the aim was to minimize the estimation error. A 440 kV, 150 km transmission line was simulated using the ATP (Alternative Transients Program) software in order to show the efficiency of the new method. The results from this application show that the global performance of GAs was highly satisfactory concerning speed and accuracy of response, if compared to the traditional Discrete Fourier Transform (DFT). |
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Genetic algorithms applied to a faster distance protection of transmission linesDistance ProtectionDiscrete Fourier TransformTransmission LinesGenetic AlgorithmsThe main purpose of this paper is to implement a new methodology based on Genetic Algorithms (GAs) to extract the fundamental voltage and current phasors from noisy waves in power systems to be applied to a faster distance protection. GAs solve optimization problems based on natural selection principles. This application was then formulated as an optimization problem, and the aim was to minimize the estimation error. A 440 kV, 150 km transmission line was simulated using the ATP (Alternative Transients Program) software in order to show the efficiency of the new method. The results from this application show that the global performance of GAs was highly satisfactory concerning speed and accuracy of response, if compared to the traditional Discrete Fourier Transform (DFT).Sociedade Brasileira de Automática2011-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000400002Sba: Controle & Automação Sociedade Brasileira de Automatica v.22 n.4 2011reponame:Sba: Controle & Automação Sociedade Brasileira de Automaticainstname:Sociedade Brasileira de Automática (SBA)instacron:SBA10.1590/S0103-17592011000400002info:eu-repo/semantics/openAccessCoury,Denis V.Oleskovicz,MárioSouza,Silvio A.eng2011-09-26T00:00:00Zoai:scielo:S0103-17592011000400002Revistahttps://www.sba.org.br/revista/PUBhttps://old.scielo.br/oai/scielo-oai.php||revista_sba@fee.unicamp.br1807-03450103-1759opendoar:2011-09-26T00:00Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA)false |
dc.title.none.fl_str_mv |
Genetic algorithms applied to a faster distance protection of transmission lines |
title |
Genetic algorithms applied to a faster distance protection of transmission lines |
spellingShingle |
Genetic algorithms applied to a faster distance protection of transmission lines Coury,Denis V. Distance Protection Discrete Fourier Transform Transmission Lines Genetic Algorithms |
title_short |
Genetic algorithms applied to a faster distance protection of transmission lines |
title_full |
Genetic algorithms applied to a faster distance protection of transmission lines |
title_fullStr |
Genetic algorithms applied to a faster distance protection of transmission lines |
title_full_unstemmed |
Genetic algorithms applied to a faster distance protection of transmission lines |
title_sort |
Genetic algorithms applied to a faster distance protection of transmission lines |
author |
Coury,Denis V. |
author_facet |
Coury,Denis V. Oleskovicz,Mário Souza,Silvio A. |
author_role |
author |
author2 |
Oleskovicz,Mário Souza,Silvio A. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Coury,Denis V. Oleskovicz,Mário Souza,Silvio A. |
dc.subject.por.fl_str_mv |
Distance Protection Discrete Fourier Transform Transmission Lines Genetic Algorithms |
topic |
Distance Protection Discrete Fourier Transform Transmission Lines Genetic Algorithms |
description |
The main purpose of this paper is to implement a new methodology based on Genetic Algorithms (GAs) to extract the fundamental voltage and current phasors from noisy waves in power systems to be applied to a faster distance protection. GAs solve optimization problems based on natural selection principles. This application was then formulated as an optimization problem, and the aim was to minimize the estimation error. A 440 kV, 150 km transmission line was simulated using the ATP (Alternative Transients Program) software in order to show the efficiency of the new method. The results from this application show that the global performance of GAs was highly satisfactory concerning speed and accuracy of response, if compared to the traditional Discrete Fourier Transform (DFT). |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000400002 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-17592011000400002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-17592011000400002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Automática |
publisher.none.fl_str_mv |
Sociedade Brasileira de Automática |
dc.source.none.fl_str_mv |
Sba: Controle & Automação Sociedade Brasileira de Automatica v.22 n.4 2011 reponame:Sba: Controle & Automação Sociedade Brasileira de Automatica instname:Sociedade Brasileira de Automática (SBA) instacron:SBA |
instname_str |
Sociedade Brasileira de Automática (SBA) |
instacron_str |
SBA |
institution |
SBA |
reponame_str |
Sba: Controle & Automação Sociedade Brasileira de Automatica |
collection |
Sba: Controle & Automação Sociedade Brasileira de Automatica |
repository.name.fl_str_mv |
Sba: Controle & Automação Sociedade Brasileira de Automatica - Sociedade Brasileira de Automática (SBA) |
repository.mail.fl_str_mv |
||revista_sba@fee.unicamp.br |
_version_ |
1754824565488353280 |