A multi-objective evaluation of the impact of the penetration of Distributed Generation
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ISGTEurope.2011.6162787 http://hdl.handle.net/11449/72854 |
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. © 2011 IEEE. |
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Repositório Institucional da UNESP |
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A multi-objective evaluation of the impact of the penetration of Distributed GenerationDistributed GenerationDistribution planningMulti-objective evolutionary particle swarm optimizationMulti-objective optimizationAlternative approachEvolutionary particle swarm optimizationsMetaheuristicMulti objectiveMulti objective optimizations (MOO)Pareto frontDistributed power generationExhibitionsMultiobjective optimizationSmart power gridsPareto principleThis 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. © 2011 IEEE.Department of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira 15385-000INESC Porto FEUP University of Porto, PortoDepartment of Electrical Engineering São Paulo State University (UNESP), Ilha Solteira 15385-000Universidade Estadual Paulista (Unesp)University of PortoMacIel, Renan Silva [UNESP]Padilha-Feltrin, Antonio [UNESP]Da Rosa, Mauro AugustoMiranda, Vladimiro2014-05-27T11:26:14Z2014-05-27T11:26:14Z2011-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISGTEurope.2011.6162787IEEE PES Innovative Smart Grid Technologies Conference Europe.http://hdl.handle.net/11449/7285410.1109/ISGTEurope.2011.61627872-s2.0-84860767328Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2024-07-04T19:11:49Zoai:repositorio.unesp.br:11449/72854Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:31:42.870499Repositório 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] Distributed Generation Distribution planning Multi-objective evolutionary particle swarm optimization Multi-objective optimization Alternative approach Evolutionary particle swarm optimizations Metaheuristic Multi objective Multi objective optimizations (MOO) Pareto front Distributed power generation Exhibitions Multiobjective optimization Smart power grids Pareto principle |
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] Da Rosa, Mauro Augusto Miranda, Vladimiro |
author_role |
author |
author2 |
Padilha-Feltrin, Antonio [UNESP] Da Rosa, Mauro Augusto Miranda, Vladimiro |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Porto |
dc.contributor.author.fl_str_mv |
MacIel, Renan Silva [UNESP] Padilha-Feltrin, Antonio [UNESP] Da Rosa, Mauro Augusto Miranda, Vladimiro |
dc.subject.por.fl_str_mv |
Distributed Generation Distribution planning Multi-objective evolutionary particle swarm optimization Multi-objective optimization Alternative approach Evolutionary particle swarm optimizations Metaheuristic Multi objective Multi objective optimizations (MOO) Pareto front Distributed power generation Exhibitions Multiobjective optimization Smart power grids Pareto principle |
topic |
Distributed Generation Distribution planning Multi-objective evolutionary particle swarm optimization Multi-objective optimization Alternative approach Evolutionary particle swarm optimizations Metaheuristic Multi objective Multi objective optimizations (MOO) Pareto front Distributed power generation Exhibitions Multiobjective optimization Smart power grids Pareto principle |
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. © 2011 IEEE. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-12-01 2014-05-27T11:26:14Z 2014-05-27T11:26:14Z |
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/ISGTEurope.2011.6162787 IEEE PES Innovative Smart Grid Technologies Conference Europe. http://hdl.handle.net/11449/72854 10.1109/ISGTEurope.2011.6162787 2-s2.0-84860767328 |
url |
http://dx.doi.org/10.1109/ISGTEurope.2011.6162787 http://hdl.handle.net/11449/72854 |
identifier_str_mv |
IEEE PES Innovative Smart Grid Technologies Conference Europe. 10.1109/ISGTEurope.2011.6162787 2-s2.0-84860767328 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE PES Innovative Smart Grid Technologies Conference Europe |
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 |
|
_version_ |
1808129331131580416 |