Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm

ABSTRACT: Unbalanced operation of distribution systems deteriorates power quality andincreases investment and operation costs. Feeder reconfiguration and phaseswapping are the two main approaches for load balancing, being the formermore difficult to execute due to the reduced number of sectionalizin...

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Autores:
Granada Echeverri, Mauricio
Gallego Rendón, Ramón
López Lezama, Jesús María
Tipo de recurso:
Article of investigation
Fecha de publicación:
2012
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/25827
Acceso en línea:
http://hdl.handle.net/10495/25827
Palabra clave:
Sistemas de distribución
Distribution systems
Balance de fases
Sistemas de distribución eléctrica
Pérdidas de energía eléctrica
http://aims.fao.org/aos/agrovoc/c_330983
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_703935ad878411e7133ede6f66739d65
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/25827
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
dc.title.alternative.spa.fl_str_mv Planeamiento optimo de balance de fases para reducción de pérdidas en sistemas de distribución usando un algoritmo genético especializado
Planejamento otimo de balan¸co de fases para redu¸c˜ao de perdas em sistemas de distribui¸c˜ao usando um algoritmo genético especializado
title Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
spellingShingle Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
Sistemas de distribución
Distribution systems
Balance de fases
Sistemas de distribución eléctrica
Pérdidas de energía eléctrica
http://aims.fao.org/aos/agrovoc/c_330983
title_short Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
title_full Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
title_fullStr Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
title_full_unstemmed Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
title_sort Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithm
dc.creator.fl_str_mv Granada Echeverri, Mauricio
Gallego Rendón, Ramón
López Lezama, Jesús María
dc.contributor.author.none.fl_str_mv Granada Echeverri, Mauricio
Gallego Rendón, Ramón
López Lezama, Jesús María
dc.subject.agrovoc.none.fl_str_mv Sistemas de distribución
Distribution systems
topic Sistemas de distribución
Distribution systems
Balance de fases
Sistemas de distribución eléctrica
Pérdidas de energía eléctrica
http://aims.fao.org/aos/agrovoc/c_330983
dc.subject.proposal.spa.fl_str_mv Balance de fases
Sistemas de distribución eléctrica
Pérdidas de energía eléctrica
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_330983
description ABSTRACT: Unbalanced operation of distribution systems deteriorates power quality andincreases investment and operation costs. Feeder reconfiguration and phaseswapping are the two main approaches for load balancing, being the formermore difficult to execute due to the reduced number of sectionalizing switchesavailable in most distribution systems. On the other hand, phase swappingconstitutes a direct, effective and low cost alternative for load balancing. The main contribution of this paper is the proposal of an optimization model anda solution technique for phase balancing planning in distribution systems. Asregards the optimization model, a mixed integer nonlinear programming formulationis proposed. On the other hand, the proposed solution techniqueconsists on a specialized genetic algorithm. To show the effectiveness of theproposed approach, several tests are carried out with two distribution systemsof 37 and 19 buses, this last one with different load models. Results showedthat in addition to the achievement of the primary objective of loss reduction,phase balancing allows obtaining other technical benefits such as improvementof voltage profile and alleviation of congested lines.
publishDate 2012
dc.date.issued.none.fl_str_mv 2012
dc.date.accessioned.none.fl_str_mv 2022-02-07T15:29:36Z
dc.date.available.none.fl_str_mv 2022-02-07T15:29:36Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ART
dc.type.local.spa.fl_str_mv Artículo de investigación
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/25827
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.8.15.6
dc.identifier.eissn.none.fl_str_mv 2256-4314
identifier_str_mv 1794-9165
10.17230/ingciencia.8.15.6
2256-4314
url http://hdl.handle.net/10495/25827
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Ing. cienc.
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.format.extent.spa.fl_str_mv 20
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT, Escuelas de Ciencias e Ingeniería
dc.publisher.group.spa.fl_str_mv Grupo de Manejo Eficiente de la Energía (GIMEL)
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
institution Universidad de Antioquia
bitstream.url.fl_str_mv http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/1/LopezJesus_2012_OptimalPhaseBalancing.pdf
http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/2/license_rdf
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spelling Granada Echeverri, MauricioGallego Rendón, RamónLópez Lezama, Jesús María2022-02-07T15:29:36Z2022-02-07T15:29:36Z20121794-9165http://hdl.handle.net/10495/2582710.17230/ingciencia.8.15.62256-4314ABSTRACT: Unbalanced operation of distribution systems deteriorates power quality andincreases investment and operation costs. Feeder reconfiguration and phaseswapping are the two main approaches for load balancing, being the formermore difficult to execute due to the reduced number of sectionalizing switchesavailable in most distribution systems. On the other hand, phase swappingconstitutes a direct, effective and low cost alternative for load balancing. The main contribution of this paper is the proposal of an optimization model anda solution technique for phase balancing planning in distribution systems. Asregards the optimization model, a mixed integer nonlinear programming formulationis proposed. On the other hand, the proposed solution techniqueconsists on a specialized genetic algorithm. To show the effectiveness of theproposed approach, several tests are carried out with two distribution systemsof 37 and 19 buses, this last one with different load models. Results showedthat in addition to the achievement of the primary objective of loss reduction,phase balancing allows obtaining other technical benefits such as improvementof voltage profile and alleviation of congested lines.RESUMEN: La operación desbalanceada de los sistemas de distribución deteriora la calidad de la potencia y aumenta los costos de inversión y operación. La reconfiguración de alimentadores y el intercambio de fases son los dos principales enfoques para balance de fases, siendo el primero más difícil de llevar a cabo debido al número reducido de seccionalizadores disponibles en la mayoría de los sistemas de distribución. Por otro lado, el intercambio de fases constituye una alternativa directa, efectiva y de bajo costo para el balance de fases. La contribución principal de este artículo es la propuesta de un modelo de optimización y una técnica de solución para el planeamiento de balance de fases en sistemas de distribución. En cuanto al modelo de optimización, se propone una formulación no lineal entera mixta. Por otro lado, la técnica de solución propuesta consiste en un algoritmo genético especializado. Para mostrar la eficacia de la metodología propuesta varios ensayos son realizados con dos sistemas de distribución de 37 y 19 barras, este ´ultimo con diferentes modelos de carga. Los resultados muestran que además de conseguir el objetivo principal de reducción de pérdidas, el balance de fases permite obtener otros beneficios técnicos como el mejoramiento del perfil de tensiones y reducción de la congestión en las líneas del sistema.COL001047720application/pdfengUniversidad EAFIT, Escuelas de Ciencias e IngenieríaGrupo de Manejo Eficiente de la Energía (GIMEL)Medellín, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Optimal phase balancing planning for loss reduction in distribution systems using a specialized genetic algorithmPlaneamiento optimo de balance de fases para reducción de pérdidas en sistemas de distribución usando un algoritmo genético especializadoPlanejamento otimo de balan¸co de fases para redu¸c˜ao de perdas em sistemas de distribui¸c˜ao usando um algoritmo genético especializadoSistemas de distribuciónDistribution systemsBalance de fasesSistemas de distribución eléctricaPérdidas de energía eléctricahttp://aims.fao.org/aos/agrovoc/c_330983Ing. cienc.Ingeniería y Ciencia121140815ORIGINALLopezJesus_2012_OptimalPhaseBalancing.pdfLopezJesus_2012_OptimalPhaseBalancing.pdfArtículo de investigaciónapplication/pdf326477http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/1/LopezJesus_2012_OptimalPhaseBalancing.pdf3690105b058c83caf88aaaee0c42ace3MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/25827oai:bibliotecadigital.udea.edu.co:10495/258272022-02-07 10:29:36.2Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=