Specialized heuristic algorithms for AC transmission expansion planning problem
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
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/AUPEC.2018.8758038 http://hdl.handle.net/11449/221325 |
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. |
id |
UNSP_06a5780e9e26ba78adb758295f46477f |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/221325 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
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.Department of Electrical Engineering Sao Paulo State UniversityDepartment of Electrical and Electronic Engineering University of MelbourneSchool of Electrical and Electronic University of ManchesterDepartment of Electrical Engineering Sao Paulo State UniversityUniversidade Estadual Paulista (UNESP)University of MelbourneUniversity of ManchesterGutierrez, Jose Nicolas Melchor [UNESP]Romero, Ruben A.Mancarella, Pierluigi2022-04-28T19:27:27Z2022-04-28T19:27:27Z2018-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/AUPEC.2018.8758038Australasian Universities Power Engineering Conference, AUPEC 2018.http://hdl.handle.net/11449/22132510.1109/AUPEC.2018.87580382-s2.0-85069517019Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAustralasian Universities Power Engineering Conference, AUPEC 2018info:eu-repo/semantics/openAccess2022-04-28T19:27:27Zoai:repositorio.unesp.br:11449/221325Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:16:00.695691Repositório 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 Gutierrez, Jose Nicolas Melchor [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 |
Gutierrez, Jose Nicolas Melchor [UNESP] |
author_facet |
Gutierrez, Jose Nicolas Melchor [UNESP] Romero, Ruben A. Mancarella, Pierluigi |
author_role |
author |
author2 |
Romero, Ruben A. Mancarella, Pierluigi |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) University of Melbourne University of Manchester |
dc.contributor.author.fl_str_mv |
Gutierrez, Jose Nicolas Melchor [UNESP] Romero, Ruben A. Mancarella, Pierluigi |
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 |
2018-11-01 2022-04-28T19:27:27Z 2022-04-28T19:27:27Z |
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/AUPEC.2018.8758038 Australasian Universities Power Engineering Conference, AUPEC 2018. http://hdl.handle.net/11449/221325 10.1109/AUPEC.2018.8758038 2-s2.0-85069517019 |
url |
http://dx.doi.org/10.1109/AUPEC.2018.8758038 http://hdl.handle.net/11449/221325 |
identifier_str_mv |
Australasian Universities Power Engineering Conference, AUPEC 2018. 10.1109/AUPEC.2018.8758038 2-s2.0-85069517019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Australasian Universities Power Engineering Conference, AUPEC 2018 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808128914162188288 |