A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty

Detalhes bibliográficos
Autor(a) principal: Rueda-Medina, A. C. [UNESP]
Data de Publicação: 2011
Outros Autores: Lopez-Lezama, J. M., Padilha-Feltrin, A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDC-LA.2010.5762891
http://hdl.handle.net/11449/72449
Resumo: Due to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. © 2011 IEEE.
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spelling A multi-objective programming approach for the optimal operation of distributed generation considering uncertaintyDistributed generationEvolutionary multi-objective programmingPower lossesAnalysis toolsDG technologyDG unitDistributed GenerationDistributed generationsDistribution systemsMultiobjective programmingOperation costOptimal operationPotential benefitsPower-lossesRenewable resourceStochasticityTest systemsDistributed power generationMultiobjective optimizationDistributed computer systemsDue to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. © 2011 IEEE.Universidade Estadual Paulista (UNESP), Ilha Solteira SPUniversidad de Antioquia (UdeA) Efficient Energy Management Research Group (GIMEL), MedellínUniversidade Estadual Paulista (UNESP), Ilha Solteira SPUniversidade Estadual Paulista (Unesp)Efficient Energy Management Research Group (GIMEL)Rueda-Medina, A. C. [UNESP]Lopez-Lezama, J. M.Padilha-Feltrin, A. [UNESP]2014-05-27T11:25:53Z2014-05-27T11:25:53Z2011-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject257-262http://dx.doi.org/10.1109/TDC-LA.2010.57628912010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 257-262.http://hdl.handle.net/11449/7244910.1109/TDC-LA.2010.57628912-s2.0-79957535661Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010info:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/72449Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:27:18.290824Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
title A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
spellingShingle A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
Rueda-Medina, A. C. [UNESP]
Distributed generation
Evolutionary multi-objective programming
Power losses
Analysis tools
DG technology
DG unit
Distributed Generation
Distributed generations
Distribution systems
Multiobjective programming
Operation cost
Optimal operation
Potential benefits
Power-losses
Renewable resource
Stochasticity
Test systems
Distributed power generation
Multiobjective optimization
Distributed computer systems
title_short A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
title_full A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
title_fullStr A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
title_full_unstemmed A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
title_sort A multi-objective programming approach for the optimal operation of distributed generation considering uncertainty
author Rueda-Medina, A. C. [UNESP]
author_facet Rueda-Medina, A. C. [UNESP]
Lopez-Lezama, J. M.
Padilha-Feltrin, A. [UNESP]
author_role author
author2 Lopez-Lezama, J. M.
Padilha-Feltrin, A. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Efficient Energy Management Research Group (GIMEL)
dc.contributor.author.fl_str_mv Rueda-Medina, A. C. [UNESP]
Lopez-Lezama, J. M.
Padilha-Feltrin, A. [UNESP]
dc.subject.por.fl_str_mv Distributed generation
Evolutionary multi-objective programming
Power losses
Analysis tools
DG technology
DG unit
Distributed Generation
Distributed generations
Distribution systems
Multiobjective programming
Operation cost
Optimal operation
Potential benefits
Power-losses
Renewable resource
Stochasticity
Test systems
Distributed power generation
Multiobjective optimization
Distributed computer systems
topic Distributed generation
Evolutionary multi-objective programming
Power losses
Analysis tools
DG technology
DG unit
Distributed Generation
Distributed generations
Distribution systems
Multiobjective programming
Operation cost
Optimal operation
Potential benefits
Power-losses
Renewable resource
Stochasticity
Test systems
Distributed power generation
Multiobjective optimization
Distributed computer systems
description Due to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. © 2011 IEEE.
publishDate 2011
dc.date.none.fl_str_mv 2011-05-31
2014-05-27T11:25:53Z
2014-05-27T11:25:53Z
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/TDC-LA.2010.5762891
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 257-262.
http://hdl.handle.net/11449/72449
10.1109/TDC-LA.2010.5762891
2-s2.0-79957535661
url http://dx.doi.org/10.1109/TDC-LA.2010.5762891
http://hdl.handle.net/11449/72449
identifier_str_mv 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 257-262.
10.1109/TDC-LA.2010.5762891
2-s2.0-79957535661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 257-262
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_ 1808128934632488960

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