Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/186164 |
Resumo: | In recent years, AC power flow equations have been gaining relevance to represent the transmission planning problem. This trend will continue growing because of fast improvements of both computational resources and robust optimization techniques. Relevant problems associated with the voltage magnitude and reactive power may be difficult to represent in the transmission planning problem if the DC mathematical formulation is used instead of the AC formulation. However, the AC formulation remains difficult to solve even with the nowadays solution methodologies. Therefore, the development of new methods that allows to solve effectively the AC formulation are highly relevant. In this paper, novel heuristic methods to solve the transmission planning problem are proposed. The results show that the proposed heuristics for the AC transmission planning problem are both effective and efficient to solve the problem. Moreover, it has been determined the most suitable heuristic criteria for the proposed heuristics. The simulations are performed in the North Northeast Brazilian test system. |
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Repositório Institucional da UNESP |
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Specialized Heuristic Algorithms for AC Transmission Expansion Planning ProblemAC formulationHeuristic algorithmPower systemTransmission planningIn recent years, AC power flow equations have been gaining relevance to represent the transmission planning problem. This trend will continue growing because of fast improvements of both computational resources and robust optimization techniques. Relevant problems associated with the voltage magnitude and reactive power may be difficult to represent in the transmission planning problem if the DC mathematical formulation is used instead of the AC formulation. However, the AC formulation remains difficult to solve even with the nowadays solution methodologies. Therefore, the development of new methods that allows to solve effectively the AC formulation are highly relevant. In this paper, novel heuristic methods to solve the transmission planning problem are proposed. The results show that the proposed heuristics for the AC transmission planning problem are both effective and efficient to solve the problem. Moreover, it has been determined the most suitable heuristic criteria for the proposed heuristics. The simulations are performed in the North Northeast Brazilian test system.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilUniv Melbourne, Dept Elect & Elect Engn, Melbourne, Vic, AustraliaUniv Manchester, Sch Elect & Elect, Manchester, Lancs, EnglandSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilFAPESP: 2015/04190-4FAPESP: 2017/02626-0IeeeUniversidade Estadual Paulista (Unesp)Univ MelbourneUniv ManchesterMelchor Gutierrez, Jose Nicolas [UNESP]Romero, Ruben A. [UNESP]Mancarella, PierluigiIEEE2019-10-04T12:42:21Z2019-10-04T12:42:21Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62018 Australasian Universities Power Engineering Conference (aupec). New York: Ieee, 6 p., 2018.http://hdl.handle.net/11449/186164WOS:000484978900084Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Australasian Universities Power Engineering Conference (aupec)info:eu-repo/semantics/openAccess2024-07-04T19:11:54Zoai:repositorio.unesp.br:11449/186164Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:17:01.172072Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
title |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
spellingShingle |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem Melchor Gutierrez, Jose Nicolas [UNESP] AC formulation Heuristic algorithm Power system Transmission planning |
title_short |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
title_full |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
title_fullStr |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
title_full_unstemmed |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
title_sort |
Specialized Heuristic Algorithms for AC Transmission Expansion Planning Problem |
author |
Melchor Gutierrez, Jose Nicolas [UNESP] |
author_facet |
Melchor Gutierrez, Jose Nicolas [UNESP] Romero, Ruben A. [UNESP] Mancarella, Pierluigi IEEE |
author_role |
author |
author2 |
Romero, Ruben A. [UNESP] Mancarella, Pierluigi IEEE |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Melbourne Univ Manchester |
dc.contributor.author.fl_str_mv |
Melchor Gutierrez, Jose Nicolas [UNESP] Romero, Ruben A. [UNESP] Mancarella, Pierluigi IEEE |
dc.subject.por.fl_str_mv |
AC formulation Heuristic algorithm Power system Transmission planning |
topic |
AC formulation Heuristic algorithm Power system Transmission planning |
description |
In recent years, AC power flow equations have been gaining relevance to represent the transmission planning problem. This trend will continue growing because of fast improvements of both computational resources and robust optimization techniques. Relevant problems associated with the voltage magnitude and reactive power may be difficult to represent in the transmission planning problem if the DC mathematical formulation is used instead of the AC formulation. However, the AC formulation remains difficult to solve even with the nowadays solution methodologies. Therefore, the development of new methods that allows to solve effectively the AC formulation are highly relevant. In this paper, novel heuristic methods to solve the transmission planning problem are proposed. The results show that the proposed heuristics for the AC transmission planning problem are both effective and efficient to solve the problem. Moreover, it has been determined the most suitable heuristic criteria for the proposed heuristics. The simulations are performed in the North Northeast Brazilian test system. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2019-10-04T12:42:21Z 2019-10-04T12:42:21Z |
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 |
2018 Australasian Universities Power Engineering Conference (aupec). New York: Ieee, 6 p., 2018. http://hdl.handle.net/11449/186164 WOS:000484978900084 |
identifier_str_mv |
2018 Australasian Universities Power Engineering Conference (aupec). New York: Ieee, 6 p., 2018. WOS:000484978900084 |
url |
http://hdl.handle.net/11449/186164 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2018 Australasian Universities Power Engineering Conference (aupec) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129413164826624 |