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...
- 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/
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oai:bibliotecadigital.udea.edu.co:10495/25827 |
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UDEA2 |
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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 http://bibliotecadigital.udea.edu.co/bitstream/10495/25827/3/license.txt |
bitstream.checksum.fl_str_mv |
3690105b058c83caf88aaaee0c42ace3 1646d1f6b96dbbbc38035efc9239ac9c 8a4605be74aa9ea9d79846c1fba20a33 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad de Antioquia |
repository.mail.fl_str_mv |
andres.perez@udea.edu.co |
_version_ |
1812173147977285632 |
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.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 |