A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation

Detalhes bibliográficos
Autor(a) principal: Maciel, Renan Silva [UNESP]
Data de Publicação: 2011
Outros Autores: Padilha-Feltrin, Antonio [UNESP], Rosa, Mauro Augusto da, Miranda, Vladimiro, IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196138
Resumo: This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.
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spelling A Multi-Objective Evaluation of the Impact of the Penetration of Distributed GenerationMulti-objective optimizationDistributed GenerationDistribution planningMulti-objective evolutionary particle swarm optimizationThis paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, BrazilUniv Porto, INESC Porto, Oporto, PortugalUniv Porto, Fac Engn, FEUP, Oporto, PortugalSao Paulo State Univ UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, BrazilFAPESP: 2006/06758-9CNPq: 303741/2009-0CAPES: 0694/09-6IeeeUniversidade Estadual Paulista (Unesp)Univ PortoMaciel, Renan Silva [UNESP]Padilha-Feltrin, Antonio [UNESP]Rosa, Mauro Augusto daMiranda, VladimiroIEEE2020-12-10T19:34:39Z2020-12-10T19:34:39Z2011-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe). New York: Ieee, 6 p., 2011.2165-4816http://hdl.handle.net/11449/196138WOS:000407001900176Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe)info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/196138Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:16:03.651459Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
title A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
spellingShingle A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
Maciel, Renan Silva [UNESP]
Multi-objective optimization
Distributed Generation
Distribution planning
Multi-objective evolutionary particle swarm optimization
title_short A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
title_full A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
title_fullStr A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
title_full_unstemmed A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
title_sort A Multi-Objective Evaluation of the Impact of the Penetration of Distributed Generation
author Maciel, Renan Silva [UNESP]
author_facet Maciel, Renan Silva [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Rosa, Mauro Augusto da
Miranda, Vladimiro
IEEE
author_role author
author2 Padilha-Feltrin, Antonio [UNESP]
Rosa, Mauro Augusto da
Miranda, Vladimiro
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Porto
dc.contributor.author.fl_str_mv Maciel, Renan Silva [UNESP]
Padilha-Feltrin, Antonio [UNESP]
Rosa, Mauro Augusto da
Miranda, Vladimiro
IEEE
dc.subject.por.fl_str_mv Multi-objective optimization
Distributed Generation
Distribution planning
Multi-objective evolutionary particle swarm optimization
topic Multi-objective optimization
Distributed Generation
Distribution planning
Multi-objective evolutionary particle swarm optimization
description This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01
2020-12-10T19:34:39Z
2020-12-10T19:34:39Z
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 2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe). New York: Ieee, 6 p., 2011.
2165-4816
http://hdl.handle.net/11449/196138
WOS:000407001900176
identifier_str_mv 2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe). New York: Ieee, 6 p., 2011.
2165-4816
WOS:000407001900176
url http://hdl.handle.net/11449/196138
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2011 2nd Ieee Pes International Conference And Exhibition On Innovative Smart Grid Technologies (isgt Europe)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
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