A specialized genetic algorithm to solve the short term transmission network expansion planning

Bibliographic Details
Main Author: Gallego, Luis A. [UNESP]
Publication Date: 2009
Other Authors: Rider, Marcos J., Romero, Rubén [UNESP], Garcia, Ariovaldo V.
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1109/PTC.2009.5281970
http://hdl.handle.net/11449/71298
Summary: In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem. © 2009 IEEE.
id UNSP_f3dfe0e897cfbac6454b3b6717b1e80f
oai_identifier_str oai:repositorio.unesp.br:11449/71298
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A specialized genetic algorithm to solve the short term transmission network expansion planningAC model of the transmission networkInterior point methodMixed integer nonlinear programmingSpecialized genetic algorithmTransmission network expansion planningInterior point methodsMixed-integer nonlinear programmingTransmission networksDynamic programmingGenetic algorithmsInteger programmingNonlinear programmingOptimizationReactive powerElectric power transmission networksIn this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem. © 2009 IEEE.Faculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPDepartment of Electric Energy Systems University of Campinas, Campinas - SPFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Gallego, Luis A. [UNESP]Rider, Marcos J.Romero, Rubén [UNESP]Garcia, Ariovaldo V.2014-05-27T11:24:04Z2014-05-27T11:24:04Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2009.52819702009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future.http://hdl.handle.net/11449/7129810.1109/PTC.2009.52819702-s2.0-74949126229Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Futureinfo:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/71298Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:11:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A specialized genetic algorithm to solve the short term transmission network expansion planning
title A specialized genetic algorithm to solve the short term transmission network expansion planning
spellingShingle A specialized genetic algorithm to solve the short term transmission network expansion planning
Gallego, Luis A. [UNESP]
AC model of the transmission network
Interior point method
Mixed integer nonlinear programming
Specialized genetic algorithm
Transmission network expansion planning
Interior point methods
Mixed-integer nonlinear programming
Transmission networks
Dynamic programming
Genetic algorithms
Integer programming
Nonlinear programming
Optimization
Reactive power
Electric power transmission networks
title_short A specialized genetic algorithm to solve the short term transmission network expansion planning
title_full A specialized genetic algorithm to solve the short term transmission network expansion planning
title_fullStr A specialized genetic algorithm to solve the short term transmission network expansion planning
title_full_unstemmed A specialized genetic algorithm to solve the short term transmission network expansion planning
title_sort A specialized genetic algorithm to solve the short term transmission network expansion planning
author Gallego, Luis A. [UNESP]
author_facet Gallego, Luis A. [UNESP]
Rider, Marcos J.
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
author_role author
author2 Rider, Marcos J.
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Gallego, Luis A. [UNESP]
Rider, Marcos J.
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
dc.subject.por.fl_str_mv AC model of the transmission network
Interior point method
Mixed integer nonlinear programming
Specialized genetic algorithm
Transmission network expansion planning
Interior point methods
Mixed-integer nonlinear programming
Transmission networks
Dynamic programming
Genetic algorithms
Integer programming
Nonlinear programming
Optimization
Reactive power
Electric power transmission networks
topic AC model of the transmission network
Interior point method
Mixed integer nonlinear programming
Specialized genetic algorithm
Transmission network expansion planning
Interior point methods
Mixed-integer nonlinear programming
Transmission networks
Dynamic programming
Genetic algorithms
Integer programming
Nonlinear programming
Optimization
Reactive power
Electric power transmission networks
description In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem. © 2009 IEEE.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-01
2014-05-27T11:24:04Z
2014-05-27T11:24:04Z
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/PTC.2009.5281970
2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future.
http://hdl.handle.net/11449/71298
10.1109/PTC.2009.5281970
2-s2.0-74949126229
url http://dx.doi.org/10.1109/PTC.2009.5281970
http://hdl.handle.net/11449/71298
identifier_str_mv 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future.
10.1109/PTC.2009.5281970
2-s2.0-74949126229
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
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 repositoriounesp@unesp.br
_version_ 1834483387895644160

Similar Items