Optimal Phase Balancing Planning for Loss Reduction in Distribution Systems using a Specialized Genetic Algorithm
The unbalanced operation of distribution systems impairs the quality of power and increases investment and operation costs. Feeder reconfiguration and phase exchange are the two main approaches to phase balancing, the first being the most difficult to carry out due to the small number of sectionaliz...
- Autores:
-
Granada Echeverri, Mauricio
Gallego Rendón, Ramón Alfonso
López Lezama, Jesús María
- Tipo de recurso:
- Fecha de publicación:
- 2012
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/14441
- Acceso en línea:
- http://hdl.handle.net/10784/14441
- Palabra clave:
- Distribution Systems
Phase Balance
Reduction Of Energy Losses
Sistemas De Distribución
Balance De Fases
Reducción De Pérdidas De Energía
- Rights
- License
- Acceso abierto
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| dc.title.eng.fl_str_mv |
Optimal Phase Balancing Planning for Loss Reduction in Distribution Systems using a Specialized Genetic Algorithm |
| dc.title.spa.fl_str_mv |
Planeamiento Optimo de Balance de Fases para Reducción de Perdidas en Sistemas de Distribución usando un 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 Distribution Systems Phase Balance Reduction Of Energy Losses Sistemas De Distribución Balance De Fases Reducción De Pérdidas De Energía |
| 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 Alfonso López Lezama, Jesús María |
| dc.contributor.author.spa.fl_str_mv |
Granada Echeverri, Mauricio Gallego Rendón, Ramón Alfonso López Lezama, Jesús María |
| dc.contributor.affiliation.spa.fl_str_mv |
Universidad Tecnológica de Pereira Universidad Tecnológica de Pereira Universidad de Antioquia |
| dc.subject.keyword.eng.fl_str_mv |
Distribution Systems Phase Balance Reduction Of Energy Losses |
| topic |
Distribution Systems Phase Balance Reduction Of Energy Losses Sistemas De Distribución Balance De Fases Reducción De Pérdidas De Energía |
| dc.subject.keyword.spa.fl_str_mv |
Sistemas De Distribución Balance De Fases Reducción De Pérdidas De Energía |
| description |
The unbalanced operation of distribution systems impairs the quality of power and increases investment and operation costs. Feeder reconfiguration and phase exchange are the two main approaches to phase balancing, the first being the most difficult to carry out due to the small number of sectionalizers available in most distribution systems. On the other hand, the exchange of phases constitutes a direct, effective and low-cost alternative for the phase balance. The main contribution of this article is the proposal of an optimization model and a solution technique for phase balance planning in distribution systems. As for the optimization model, a mixed integer nonlinear formulation is proposed. On the other hand, the proposed solution technique consists of a specialized genetic algorithm. To show the effectiveness of the proposed methodology, several tests are carried out with two distribution systems of 37 and 19 bars, the latter with different load models. The results show that in addition to achieving the main objective of reducing losses, the phase balance allows obtaining other technical benefits such as the improvement of the stress profile and reduction of congestion in the system lines. |
| publishDate |
2012 |
| dc.date.issued.none.fl_str_mv |
2012-06-15 |
| dc.date.available.none.fl_str_mv |
2019-11-22T18:48:58Z |
| dc.date.accessioned.none.fl_str_mv |
2019-11-22T18:48:58Z |
| dc.date.none.fl_str_mv |
2012-06-15 |
| dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
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Artículo |
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publishedVersion |
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2256-4314 1794-9165 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/14441 |
| dc.identifier.doi.none.fl_str_mv |
10.17230/ingciencia.8.15.6 |
| identifier_str_mv |
2256-4314 1794-9165 10.17230/ingciencia.8.15.6 |
| url |
http://hdl.handle.net/10784/14441 |
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spa |
| language |
spa |
| dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/937 |
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http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/937 |
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http://purl.org/coar/access_right/c_abf2 |
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Acceso abierto |
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Acceso abierto http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
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Universidad EAFIT |
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instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
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Ingeniería y Ciencia; Vol 8, No 15 (2012) |
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2012-06-152019-11-22T18:48:58Z2012-06-152019-11-22T18:48:58Z2256-43141794-9165http://hdl.handle.net/10784/1444110.17230/ingciencia.8.15.6The unbalanced operation of distribution systems impairs the quality of power and increases investment and operation costs. Feeder reconfiguration and phase exchange are the two main approaches to phase balancing, the first being the most difficult to carry out due to the small number of sectionalizers available in most distribution systems. On the other hand, the exchange of phases constitutes a direct, effective and low-cost alternative for the phase balance. The main contribution of this article is the proposal of an optimization model and a solution technique for phase balance planning in distribution systems. As for the optimization model, a mixed integer nonlinear formulation is proposed. On the other hand, the proposed solution technique consists of a specialized genetic algorithm. To show the effectiveness of the proposed methodology, several tests are carried out with two distribution systems of 37 and 19 bars, the latter with different load models. The results show that in addition to achieving the main objective of reducing losses, the phase balance allows obtaining other technical benefits such as the improvement of the stress profile and reduction of congestion in the system lines.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 último 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.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/937http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/937Copyright (c) 2012 Mauricio Granada Echeverri, Ramón Alfonso Gallego Rendón, Jesús María López LezamaAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 8, No 15 (2012)Optimal Phase Balancing Planning for Loss Reduction in Distribution Systems using a Specialized Genetic AlgorithmPlaneamiento Optimo de Balance de Fases para Reducción de Perdidas en Sistemas de Distribución usando un Algoritmo Genético Especializadoarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Distribution SystemsPhase BalanceReduction Of Energy LossesSistemas De DistribuciónBalance De FasesReducción De Pérdidas De EnergíaGranada Echeverri, MauricioGallego Rendón, Ramón AlfonsoLópez Lezama, Jesús MaríaUniversidad Tecnológica de PereiraUniversidad Tecnológica de PereiraUniversidad de AntioquiaIngeniería y Ciencia815121140ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/97a0389e-e141-40f6-8f42-9ac6159ad4b6/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL6.pdf6.pdfTexto completo PDFapplication/pdf335708https://repository.eafit.edu.co/bitstreams/642cb080-6e84-4787-b005-59592d308fc1/downloadc008a45e471240934f09a36fe8f138aeMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html373https://repository.eafit.edu.co/bitstreams/531ce8c5-91e3-491f-990d-b0e2727d6d5e/downloadd684630ddb7dac4aeb6595bc5216ac17MD5310784/14441oai:repository.eafit.edu.co:10784/144412020-03-02 22:02:24.228open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |