Transmission network expansion planning in full open market considering security constraints

Bibliographic Details
Main Author: Rider, Marcos J.
Publication Date: 2005
Other Authors: De J. Silva, Irênio, Romero, Rubén [UNESP], Garcia, Ariovaldo V., Murari, Carlos A.
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1109/PTC.2005.4524456
http://hdl.handle.net/11449/68543
Summary: This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints in full competitive market, assuming that all generation programming plans present in the system operation are known. The methodology let us find an optimal transmission network expansion plan that allows the power system to operate adequately in each one of the generation programming plans specified in the full competitive market case, including a single contingency situation with generation rescheduling using the security (n-1) criterion. In this context, the centralized expansion planning with security constraints and the expansion planning in full competitive market are subsets of the proposal presented in this paper. The model provides a solution using a genetic algorithm designed to efficiently solve the reliable expansion planning in full competitive market. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology.
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spelling Transmission network expansion planning in full open market considering security constraintsComputer networksElectric network topologyElectric power systemsElectric power transmission networksGenetic algorithmsMarketingMathematical modelsCompetitive marketsSecurity constraintsExpansionThis paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints in full competitive market, assuming that all generation programming plans present in the system operation are known. The methodology let us find an optimal transmission network expansion plan that allows the power system to operate adequately in each one of the generation programming plans specified in the full competitive market case, including a single contingency situation with generation rescheduling using the security (n-1) criterion. In this context, the centralized expansion planning with security constraints and the expansion planning in full competitive market are subsets of the proposal presented in this paper. The model provides a solution using a genetic algorithm designed to efficiently solve the reliable expansion planning in full competitive market. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology.Department of Electrical Engineering State University of Campinas, Campinas - SPFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPFaculty of Engineering of Ilha Solteira Paulista State University, Ilha Solteira - SPUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Rider, Marcos J.De J. Silva, IrênioRomero, Rubén [UNESP]Garcia, Ariovaldo V.Murari, Carlos A.2014-05-27T11:21:42Z2014-05-27T11:21:42Z2005-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2005.45244562005 IEEE Russia Power Tech, PowerTech.http://hdl.handle.net/11449/6854310.1109/PTC.2005.45244562-s2.0-51549110781Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2005 IEEE Russia Power Tech, PowerTechinfo:eu-repo/semantics/openAccess2024-07-04T19:11:17Zoai:repositorio.unesp.br:11449/68543Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-03-28T15:09:40.283799Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transmission network expansion planning in full open market considering security constraints
title Transmission network expansion planning in full open market considering security constraints
spellingShingle Transmission network expansion planning in full open market considering security constraints
Rider, Marcos J.
Computer networks
Electric network topology
Electric power systems
Electric power transmission networks
Genetic algorithms
Marketing
Mathematical models
Competitive markets
Security constraints
Expansion
title_short Transmission network expansion planning in full open market considering security constraints
title_full Transmission network expansion planning in full open market considering security constraints
title_fullStr Transmission network expansion planning in full open market considering security constraints
title_full_unstemmed Transmission network expansion planning in full open market considering security constraints
title_sort Transmission network expansion planning in full open market considering security constraints
author Rider, Marcos J.
author_facet Rider, Marcos J.
De J. Silva, Irênio
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
Murari, Carlos A.
author_role author
author2 De J. Silva, Irênio
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
Murari, Carlos A.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rider, Marcos J.
De J. Silva, Irênio
Romero, Rubén [UNESP]
Garcia, Ariovaldo V.
Murari, Carlos A.
dc.subject.por.fl_str_mv Computer networks
Electric network topology
Electric power systems
Electric power transmission networks
Genetic algorithms
Marketing
Mathematical models
Competitive markets
Security constraints
Expansion
topic Computer networks
Electric network topology
Electric power systems
Electric power transmission networks
Genetic algorithms
Marketing
Mathematical models
Competitive markets
Security constraints
Expansion
description This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem with security constraints in full competitive market, assuming that all generation programming plans present in the system operation are known. The methodology let us find an optimal transmission network expansion plan that allows the power system to operate adequately in each one of the generation programming plans specified in the full competitive market case, including a single contingency situation with generation rescheduling using the security (n-1) criterion. In this context, the centralized expansion planning with security constraints and the expansion planning in full competitive market are subsets of the proposal presented in this paper. The model provides a solution using a genetic algorithm designed to efficiently solve the reliable expansion planning in full competitive market. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology.
publishDate 2005
dc.date.none.fl_str_mv 2005-12-01
2014-05-27T11:21:42Z
2014-05-27T11:21:42Z
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.2005.4524456
2005 IEEE Russia Power Tech, PowerTech.
http://hdl.handle.net/11449/68543
10.1109/PTC.2005.4524456
2-s2.0-51549110781
url http://dx.doi.org/10.1109/PTC.2005.4524456
http://hdl.handle.net/11449/68543
identifier_str_mv 2005 IEEE Russia Power Tech, PowerTech.
10.1109/PTC.2005.4524456
2-s2.0-51549110781
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2005 IEEE Russia Power Tech, PowerTech
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
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