Distributed generation impact evaluation using a multi-objective tabu search

Detalhes bibliográficos
Autor(a) principal: Maciel, R. S. [UNESP]
Data de Publicação: 2009
Outros Autores: 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/ISAP.2009.5352937
http://hdl.handle.net/11449/71479
Resumo: Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive networks considering different operation scenarios. Studying DG optimal siting and sizing the planner can identify the network behavior in presence of DG. Many approaches for the optimal DG allocation problem successfully used multi-objective optimization techniques. So this paper contributes to the fundamental stage of multi-objective optimization of finding the Pareto optimal solutions set. It is proposed the application of a Multi-objective Tabu Search and it was verified a better performance comparing to the NSGA-II method. © 2009 IEEE.
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spelling Distributed generation impact evaluation using a multi-objective tabu searchDistributed generationMedium voltage distribution networksMultiobjective optimizationOptimal allocationTabu searchAllocation problemsDistributed GenerationDistribution networkImpact evaluationMedium-voltage distribution networksMulti objectiveMulti-objective optimization techniquesNetwork analysisNetwork behaviorsNSGA-IIPareto optimal solutionsDistributed parameter networksElectric network analysisGalerkin methodsIntelligent systemsPassive networksPlanningVoltage distribution measurementVoltage dividersDistribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive networks considering different operation scenarios. Studying DG optimal siting and sizing the planner can identify the network behavior in presence of DG. Many approaches for the optimal DG allocation problem successfully used multi-objective optimization techniques. So this paper contributes to the fundamental stage of multi-objective optimization of finding the Pareto optimal solutions set. It is proposed the application of a Multi-objective Tabu Search and it was verified a better performance comparing to the NSGA-II method. © 2009 IEEE.Department of Electrical Engineering Universidade Estadual Paulista - UNESP, Ilha SolteiraDepartment of Electrical Engineering Universidade Estadual Paulista - UNESP, Ilha SolteiraUniversidade Estadual Paulista (Unesp)Maciel, R. S. [UNESP]Padilha-Feltrin, A. [UNESP]2014-05-27T11:24:34Z2014-05-27T11:24:34Z2009-12-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISAP.2009.53529372009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.http://hdl.handle.net/11449/7147910.1109/ISAP.2009.53529372-s2.0-76549120546Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09info:eu-repo/semantics/openAccess2021-10-23T15:34:01Zoai:repositorio.unesp.br:11449/71479Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T15:34:01Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Distributed generation impact evaluation using a multi-objective tabu search
title Distributed generation impact evaluation using a multi-objective tabu search
spellingShingle Distributed generation impact evaluation using a multi-objective tabu search
Maciel, R. S. [UNESP]
Distributed generation
Medium voltage distribution networks
Multiobjective optimization
Optimal allocation
Tabu search
Allocation problems
Distributed Generation
Distribution network
Impact evaluation
Medium-voltage distribution networks
Multi objective
Multi-objective optimization techniques
Network analysis
Network behaviors
NSGA-II
Pareto optimal solutions
Distributed parameter networks
Electric network analysis
Galerkin methods
Intelligent systems
Passive networks
Planning
Voltage distribution measurement
Voltage dividers
title_short Distributed generation impact evaluation using a multi-objective tabu search
title_full Distributed generation impact evaluation using a multi-objective tabu search
title_fullStr Distributed generation impact evaluation using a multi-objective tabu search
title_full_unstemmed Distributed generation impact evaluation using a multi-objective tabu search
title_sort Distributed generation impact evaluation using a multi-objective tabu search
author Maciel, R. S. [UNESP]
author_facet Maciel, R. S. [UNESP]
Padilha-Feltrin, A. [UNESP]
author_role author
author2 Padilha-Feltrin, A. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Maciel, R. S. [UNESP]
Padilha-Feltrin, A. [UNESP]
dc.subject.por.fl_str_mv Distributed generation
Medium voltage distribution networks
Multiobjective optimization
Optimal allocation
Tabu search
Allocation problems
Distributed Generation
Distribution network
Impact evaluation
Medium-voltage distribution networks
Multi objective
Multi-objective optimization techniques
Network analysis
Network behaviors
NSGA-II
Pareto optimal solutions
Distributed parameter networks
Electric network analysis
Galerkin methods
Intelligent systems
Passive networks
Planning
Voltage distribution measurement
Voltage dividers
topic Distributed generation
Medium voltage distribution networks
Multiobjective optimization
Optimal allocation
Tabu search
Allocation problems
Distributed Generation
Distribution network
Impact evaluation
Medium-voltage distribution networks
Multi objective
Multi-objective optimization techniques
Network analysis
Network behaviors
NSGA-II
Pareto optimal solutions
Distributed parameter networks
Electric network analysis
Galerkin methods
Intelligent systems
Passive networks
Planning
Voltage distribution measurement
Voltage dividers
description Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive networks considering different operation scenarios. Studying DG optimal siting and sizing the planner can identify the network behavior in presence of DG. Many approaches for the optimal DG allocation problem successfully used multi-objective optimization techniques. So this paper contributes to the fundamental stage of multi-objective optimization of finding the Pareto optimal solutions set. It is proposed the application of a Multi-objective Tabu Search and it was verified a better performance comparing to the NSGA-II method. © 2009 IEEE.
publishDate 2009
dc.date.none.fl_str_mv 2009-12-09
2014-05-27T11:24:34Z
2014-05-27T11:24:34Z
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/ISAP.2009.5352937
2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.
http://hdl.handle.net/11449/71479
10.1109/ISAP.2009.5352937
2-s2.0-76549120546
url http://dx.doi.org/10.1109/ISAP.2009.5352937
http://hdl.handle.net/11449/71479
identifier_str_mv 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.
10.1109/ISAP.2009.5352937
2-s2.0-76549120546
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09
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_ 1803046987665244160

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