A combinatorial approach for transmission expansion & reactive power planning

Detalhes bibliográficos
Autor(a) principal: Rahmani, M. [UNESP]
Data de Publicação: 2011
Outros Autores: Rashidinejad, M., Carreno, E. M., Romero, R. A. [UNESP]
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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spelling 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
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