Transmission network expansion planning in full open market considering security constraints
| Main Author: | |
|---|---|
| Publication Date: | 2005 |
| Other Authors: | , , , |
| 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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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 |
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info:eu-repo/semantics/openAccess |
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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) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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1834483002286014464 |