Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method
The introduction of new loads to the traditional electrical distribution systems can lead to the overloading in the power equipment. This on the sizing makes the useful life of the power equipment decrease considerably, in addition, the reliability and stability of the system begins to be compromise...
- Autores:
-
Villacres, Fabricio
Inga, Esteban
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/17660
- Acceso en línea:
- http://hdl.handle.net/10784/17660
- Palabra clave:
- Optimization
Planning
Distribution networks
Geolocation
Sizing
Metaheuristics
Optimización
Planeación
Redes de distribución
Geolocalización
Dimensionamiento
Metaheurística
- Rights
- License
- Copyright © 2019 Fabricio Villacres, Esteban Inga
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dc.title.eng.fl_str_mv |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
dc.title.spa.fl_str_mv |
Planeación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurístico |
title |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
spellingShingle |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method Optimization Planning Distribution networks Geolocation Sizing Metaheuristics Optimización Planeación Redes de distribución Geolocalización Dimensionamiento Metaheurística |
title_short |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
title_full |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
title_fullStr |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
title_full_unstemmed |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
title_sort |
Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic Method |
dc.creator.fl_str_mv |
Villacres, Fabricio Inga, Esteban |
dc.contributor.author.spa.fl_str_mv |
Villacres, Fabricio Inga, Esteban |
dc.contributor.affiliation.spa.fl_str_mv |
Universidad Politécnica Salesiana |
dc.subject.keyword.eng.fl_str_mv |
Optimization Planning Distribution networks Geolocation Sizing Metaheuristics |
topic |
Optimization Planning Distribution networks Geolocation Sizing Metaheuristics Optimización Planeación Redes de distribución Geolocalización Dimensionamiento Metaheurística |
dc.subject.keyword.spa.fl_str_mv |
Optimización Planeación Redes de distribución Geolocalización Dimensionamiento Metaheurística |
description |
The introduction of new loads to the traditional electrical distribution systems can lead to the overloading in the power equipment. This on the sizing makes the useful life of the power equipment decrease considerably, in addition, the reliability and stability of the system begins to be compromised. Therefore, through the present investigation it is possible to solve the problem of the planning of electrical distribution networks by integrating the possibility of migrating from the concept of traditional electric networks to smart electric networks, the same ones that only electrical distribution systems of robust networks are achieved heterogeneous bidirectional communication. The present work focused on the development of a model capable of locating the distribution transformers in the best sites to satisfy the majority of users of the electrical network and obtain the best topology by applying the theory of graphs In addition, the presented model contemplates the development of a heuristic capable of executing georeferenced planning processes through the management and use of geolocated information from OpenStreetMap through the .osm file that this free platform offers us. The heuristic proposed in the present document is modeled using the Matlab software and to validate the information, the Cymdist software is required. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019-11-29 |
dc.date.available.none.fl_str_mv |
2020-09-04T16:41:30Z |
dc.date.accessioned.none.fl_str_mv |
2020-09-04T16:41:30Z |
dc.date.none.fl_str_mv |
2019-11-29 |
dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
1794-9165 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/17660 |
identifier_str_mv |
1794-9165 |
url |
http://hdl.handle.net/10784/17660 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.isversionof.none.fl_str_mv |
https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/5224 |
dc.relation.uri.none.fl_str_mv |
https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/5224 |
dc.rights.eng.fl_str_mv |
Copyright © 2019 Fabricio Villacres, Esteban Inga |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Copyright © 2019 Fabricio Villacres, Esteban Inga Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.none.fl_str_mv |
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 |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.source.spa.fl_str_mv |
Ingeniería y Ciencia, Vol. 15, Núm. 30 (2019) |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
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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 degrees2019-11-292020-09-04T16:41:30Z2019-11-292020-09-04T16:41:30Z1794-9165http://hdl.handle.net/10784/17660The introduction of new loads to the traditional electrical distribution systems can lead to the overloading in the power equipment. This on the sizing makes the useful life of the power equipment decrease considerably, in addition, the reliability and stability of the system begins to be compromised. Therefore, through the present investigation it is possible to solve the problem of the planning of electrical distribution networks by integrating the possibility of migrating from the concept of traditional electric networks to smart electric networks, the same ones that only electrical distribution systems of robust networks are achieved heterogeneous bidirectional communication. The present work focused on the development of a model capable of locating the distribution transformers in the best sites to satisfy the majority of users of the electrical network and obtain the best topology by applying the theory of graphs In addition, the presented model contemplates the development of a heuristic capable of executing georeferenced planning processes through the management and use of geolocated information from OpenStreetMap through the .osm file that this free platform offers us. The heuristic proposed in the present document is modeled using the Matlab software and to validate the information, the Cymdist software is required.La introducción de nuevas cargas a los sistemas eléctricos de distribución tradicionales puede provocar sobrecarga en los equipos de potencia. Esta sobrecarga hace que la vida útil de los equipos de potencia disminuya considerablemente además, la confiabilidad y estabilidad del sistema comienza a verse comprometido. Por lo tanto, mediante la presente investigación se da solución al problema de planeación de redes eléctricas de distribución integrando la posibilidad de migrar del concepto de redes eléctricas tradicionales a redes eléctricas inteligentes, las mismas que, únicamente se consigue dotando a los sistemas eléctricos de distribución de robustas redes heterogéneas de comunicación bidireccional. El presente trabajo se enfoca en el desarrollo de un modelo capaz de ubicar los transformadores de distribución en los mejores sitios para satisfacer de energía a los usuarios de la red eléctrica y de conseguir la mejor topología mediante la aplicación de teoría de grafos. Además, el presente modelo contempla el desarrollo de una heurística capaz de ejecutar procesos de planeación georreferenciada mediante la gestión y utilización de la información geolocalizada desde OpenStreetMap mediante el archivo .osm que, esta plataforma gratuita, nos ofrece.La heurística propuesta en el presente documento se modela utilizando el software Matlab y para validar la información, se requiere el software Cymdist.application/pdfspaUniversidad EAFIThttps://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/5224https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/5224Copyright © 2019 Fabricio Villacres, Esteban IngaAcceso abiertohttp://purl.org/coar/access_right/c_abf2Ingeniería y Ciencia, Vol. 15, Núm. 30 (2019)Planning and Sizing of Electrical Networks of Underground Distribution by Metaheuristic MethodPlaneación y dimensionamiento de redes eléctricas de distribución soterrada mediante un método metaheurísticoarticleinfo: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_2df8fbb1OptimizationPlanningDistribution networksGeolocationSizingMetaheuristicsOptimizaciónPlaneaciónRedes de distribuciónGeolocalizaciónDimensionamientoMetaheurísticaVillacres, Fabricio43f16456-7342-4c0d-928c-35d3f9ad9092-1Inga, Estebanfbcb9495-e9ea-48c8-beae-bf892d853160-1Universidad Politécnica SalesianaIngeniería y Ciencia1530141166THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/f14f6f4c-b3ca-4593-926a-01664aa7b77a/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL5224-Article Text-21330-1-10-20191129.pdf5224-Article Text-21330-1-10-20191129.pdfTexto completo PDFapplication/pdf1005261https://repository.eafit.edu.co/bitstreams/fe0f03ff-3d60-4d78-b7d8-3bb2ab7bfbad/download112b792e831d860b119911b5889c7debMD52articulo - copia.htmlarticulo - copia.htmlTexto completo HTMLtext/html375https://repository.eafit.edu.co/bitstreams/248c6903-5e0c-48a9-b016-6a36440ec5d6/download1823ad7af1d1dd12bfd8aa1b5bd96a98MD5310784/17660oai:repository.eafit.edu.co:10784/176602024-12-04 11:49:53.879open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |