A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TPWRS.2018.2842648 http://hdl.handle.net/11449/177143 |
Resumo: | This paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed generation (DG). The proposed mathematical model consists of two objective functions that consider economic issues and the network continuity index. Physical and operational constraints are taken into account, with emphasis on the set of constraints based on practical rules of distribution companies and international technical standards, which require the specification, coordination and selectivity of the protection devices installed in the network. The possibility of load transfer from neighboring feeders and islanded DG operation is also considered. The proposed model is a mixed integer non-linear programming and we use NSGA-II (Nondominated Sorting Genetic Algorithm) to solve it. The proposed methodology is applied in a real 135-bus system found in literature. |
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Repositório Institucional da UNESP |
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A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed GenerationCoordination and selectivitydistributed generationoptimizationprotection devicesreliabilityThis paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed generation (DG). The proposed mathematical model consists of two objective functions that consider economic issues and the network continuity index. Physical and operational constraints are taken into account, with emphasis on the set of constraints based on practical rules of distribution companies and international technical standards, which require the specification, coordination and selectivity of the protection devices installed in the network. The possibility of load transfer from neighboring feeders and islanded DG operation is also considered. The proposed model is a mixed integer non-linear programming and we use NSGA-II (Nondominated Sorting Genetic Algorithm) to solve it. The proposed methodology is applied in a real 135-bus system found in literature.Department of Electrical Engineering, Paulista State University, Ilha Solteira, SP Brazil 15385000 (e-mail: katianipereira85@gmail.com)Department of Computation and Electrical Engineering, Sao Paulo University, Sao Carlos Brazil 13162-150 (e-mail: brpjunior@gmail.com)E.T.S. de Ingenieros Industriales, University of Castilla - La Mancha, Ciudad Real Spain 13071 (e-mail: javier.contreras@uclm.es)Electrial Engineering, Sao Paulo State University, Ilha Solteira Brazil 15385-000 (e-mail: mant@dee.feis.unesp.br)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Pereira, KatianiPereira Junior, Benvindo RodriguesContreras, JavierMantovani, Jose Roberto Sanches2018-12-11T17:24:11Z2018-12-11T17:24:11Z2018-05-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1109/TPWRS.2018.2842648IEEE Transactions on Power Systems.0885-8950http://hdl.handle.net/11449/17714310.1109/TPWRS.2018.28426482-s2.0-850477840712-s2.0-85047784071.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Power Systems2,742info:eu-repo/semantics/openAccess2024-07-04T19:05:49Zoai:repositorio.unesp.br:11449/177143Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:42:17.773144Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
title |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
spellingShingle |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation Pereira, Katiani Coordination and selectivity distributed generation optimization protection devices reliability |
title_short |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
title_full |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
title_fullStr |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
title_full_unstemmed |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
title_sort |
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation |
author |
Pereira, Katiani |
author_facet |
Pereira, Katiani Pereira Junior, Benvindo Rodrigues Contreras, Javier Mantovani, Jose Roberto Sanches |
author_role |
author |
author2 |
Pereira Junior, Benvindo Rodrigues Contreras, Javier Mantovani, Jose Roberto Sanches |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Pereira, Katiani Pereira Junior, Benvindo Rodrigues Contreras, Javier Mantovani, Jose Roberto Sanches |
dc.subject.por.fl_str_mv |
Coordination and selectivity distributed generation optimization protection devices reliability |
topic |
Coordination and selectivity distributed generation optimization protection devices reliability |
description |
This paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed generation (DG). The proposed mathematical model consists of two objective functions that consider economic issues and the network continuity index. Physical and operational constraints are taken into account, with emphasis on the set of constraints based on practical rules of distribution companies and international technical standards, which require the specification, coordination and selectivity of the protection devices installed in the network. The possibility of load transfer from neighboring feeders and islanded DG operation is also considered. The proposed model is a mixed integer non-linear programming and we use NSGA-II (Nondominated Sorting Genetic Algorithm) to solve it. The proposed methodology is applied in a real 135-bus system found in literature. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:24:11Z 2018-12-11T17:24:11Z 2018-05-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TPWRS.2018.2842648 IEEE Transactions on Power Systems. 0885-8950 http://hdl.handle.net/11449/177143 10.1109/TPWRS.2018.2842648 2-s2.0-85047784071 2-s2.0-85047784071.pdf |
url |
http://dx.doi.org/10.1109/TPWRS.2018.2842648 http://hdl.handle.net/11449/177143 |
identifier_str_mv |
IEEE Transactions on Power Systems. 0885-8950 10.1109/TPWRS.2018.2842648 2-s2.0-85047784071 2-s2.0-85047784071.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Power Systems 2,742 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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_ |
1808128404432617472 |