A combinatorial approach for transmission expansion & reactive power planning
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TDC-LA.2010.5762933 http://hdl.handle.net/11449/72455 |
Resumo: | A metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved using a real genetic algorithm (RGA). For each topology proposed by RGA an indicator is employed to identify the weak buses for new reactive power sources allocation. The fitness function is calculated using the cost of each configuration as well as constraints deviation of an AC optimal power flow (OPF) in which the minimum reactive generation of new reactive sources and the active power losses are objectives. With allocation of reactive power sources at load buses, the circuit capacity increases and the cost of installation could be decreased. The method is tested in a well known test system, presenting good results when compared with other approaches. © 2011 IEEE. |
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Repositório Institucional da UNESP |
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A combinatorial approach for transmission expansion & reactive power planningL indicatorreactive power planningreactive sourcesreal genetic algorithmtransmission expansion planningweak busesBusesElectric power transmissionExpansionGenetic algorithmsReactive powerA metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved using a real genetic algorithm (RGA). For each topology proposed by RGA an indicator is employed to identify the weak buses for new reactive power sources allocation. The fitness function is calculated using the cost of each configuration as well as constraints deviation of an AC optimal power flow (OPF) in which the minimum reactive generation of new reactive sources and the active power losses are objectives. With allocation of reactive power sources at load buses, the circuit capacity increases and the cost of installation could be decreased. The method is tested in a well known test system, presenting good results when compared with other approaches. © 2011 IEEE.Universidade Estadual Paulista Campus Ilha Solteira, SPShahid Bahonar University of Kerman, KermanInternational Center for Science and Technology and Environmental SciencesCECE-UNIOESTE, Foz de Iguaçu-PRUniversidade Estadual Paulista Campus Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)Shahid Bahonar University of KermanInternational Center for Science and Technology and Environmental SciencesUniversidade Estadual do Oeste do Paraná (UNIOESTE)Rahmani, M. [UNESP]Rashidinejad, M.Carreno, E. M.Romero, R. A. [UNESP]2014-05-27T11:25:53Z2014-05-27T11:25:53Z2011-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject529-536http://dx.doi.org/10.1109/TDC-LA.2010.57629332010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 529-536.http://hdl.handle.net/11449/7245510.1109/TDC-LA.2010.57629332-s2.0-79957546994Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010info:eu-repo/semantics/openAccess2021-10-23T21:37:51Zoai:repositorio.unesp.br:11449/72455Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:42:42.795083Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A combinatorial approach for transmission expansion & reactive power planning |
title |
A combinatorial approach for transmission expansion & reactive power planning |
spellingShingle |
A combinatorial approach for transmission expansion & reactive power planning Rahmani, M. [UNESP] L indicator reactive power planning reactive sources real genetic algorithm transmission expansion planning weak buses Buses Electric power transmission Expansion Genetic algorithms Reactive power |
title_short |
A combinatorial approach for transmission expansion & reactive power planning |
title_full |
A combinatorial approach for transmission expansion & reactive power planning |
title_fullStr |
A combinatorial approach for transmission expansion & reactive power planning |
title_full_unstemmed |
A combinatorial approach for transmission expansion & reactive power planning |
title_sort |
A combinatorial approach for transmission expansion & reactive power planning |
author |
Rahmani, M. [UNESP] |
author_facet |
Rahmani, M. [UNESP] Rashidinejad, M. Carreno, E. M. Romero, R. A. [UNESP] |
author_role |
author |
author2 |
Rashidinejad, M. Carreno, E. M. Romero, R. A. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Shahid Bahonar University of Kerman International Center for Science and Technology and Environmental Sciences Universidade Estadual do Oeste do Paraná (UNIOESTE) |
dc.contributor.author.fl_str_mv |
Rahmani, M. [UNESP] Rashidinejad, M. Carreno, E. M. Romero, R. A. [UNESP] |
dc.subject.por.fl_str_mv |
L indicator reactive power planning reactive sources real genetic algorithm transmission expansion planning weak buses Buses Electric power transmission Expansion Genetic algorithms Reactive power |
topic |
L indicator reactive power planning reactive sources real genetic algorithm transmission expansion planning weak buses Buses Electric power transmission Expansion Genetic algorithms Reactive power |
description |
A metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved using a real genetic algorithm (RGA). For each topology proposed by RGA an indicator is employed to identify the weak buses for new reactive power sources allocation. The fitness function is calculated using the cost of each configuration as well as constraints deviation of an AC optimal power flow (OPF) in which the minimum reactive generation of new reactive sources and the active power losses are objectives. With allocation of reactive power sources at load buses, the circuit capacity increases and the cost of installation could be decreased. The method is tested in a well known test system, presenting good results when compared with other approaches. © 2011 IEEE. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-05-31 2014-05-27T11:25:53Z 2014-05-27T11:25:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TDC-LA.2010.5762933 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 529-536. http://hdl.handle.net/11449/72455 10.1109/TDC-LA.2010.5762933 2-s2.0-79957546994 |
url |
http://dx.doi.org/10.1109/TDC-LA.2010.5762933 http://hdl.handle.net/11449/72455 |
identifier_str_mv |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 529-536. 10.1109/TDC-LA.2010.5762933 2-s2.0-79957546994 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
529-536 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128407946395648 |