Optimal placement of distributed generation in electric power system
This article presents a methodology for the optimal location of distributed generation in electric power systems. Candidate bars to locate distributed generation are identified based on local marginal prices. These prices are obtained by solving an optimal power flow (OPF) and correspond to the Lagr...
- Autores:
-
López–Lezama, Jesús María
Padilha–Feltrin, Antonio
Gallego Pareja, Luis Alfonso
- Tipo de recurso:
- Fecha de publicación:
- 2009
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/14508
- Acceso en línea:
- http://hdl.handle.net/10784/14508
- Palabra clave:
- Optimal Power Flow
Distributed Generation
Local Marginal Prices
Flujo De Potencia Óptimo
Generación Distribuida
Precios Marginales Locales
- Rights
- License
- Copyright (c) 2009 Jesús María López–Lezama, Antonio Padilha–Feltrin, Luis Alfonso Gallego Pareja
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|
dc.title.eng.fl_str_mv |
Optimal placement of distributed generation in electric power system |
dc.title.spa.fl_str_mv |
Ubicación óptima de generación distribuida en sistemas de energía eléctrica |
title |
Optimal placement of distributed generation in electric power system |
spellingShingle |
Optimal placement of distributed generation in electric power system Optimal Power Flow Distributed Generation Local Marginal Prices Flujo De Potencia Óptimo Generación Distribuida Precios Marginales Locales |
title_short |
Optimal placement of distributed generation in electric power system |
title_full |
Optimal placement of distributed generation in electric power system |
title_fullStr |
Optimal placement of distributed generation in electric power system |
title_full_unstemmed |
Optimal placement of distributed generation in electric power system |
title_sort |
Optimal placement of distributed generation in electric power system |
dc.creator.fl_str_mv |
López–Lezama, Jesús María Padilha–Feltrin, Antonio Gallego Pareja, Luis Alfonso |
dc.contributor.author.spa.fl_str_mv |
López–Lezama, Jesús María Padilha–Feltrin, Antonio Gallego Pareja, Luis Alfonso |
dc.contributor.affiliation.spa.fl_str_mv |
Universidad Estadual Paulista (UNESP) |
dc.subject.keyword.eng.fl_str_mv |
Optimal Power Flow Distributed Generation Local Marginal Prices |
topic |
Optimal Power Flow Distributed Generation Local Marginal Prices Flujo De Potencia Óptimo Generación Distribuida Precios Marginales Locales |
dc.subject.keyword.spa.fl_str_mv |
Flujo De Potencia Óptimo Generación Distribuida Precios Marginales Locales |
description |
This article presents a methodology for the optimal location of distributed generation in electric power systems. Candidate bars to locate distributed generation are identified based on local marginal prices. These prices are obtained by solving an optimal power flow (OPF) and correspond to the Lagrange multipliers of the active power balance equations in each of the system bars. To include distributed generation in the OPF, it has been modeled as a negative injection of active power. The methodology consists of an iterative nonlinear process where distributed generation is located in the bar with the highest marginal price. Three types of distributed generation were considered: 1) internal combustion engines, 2) gas turbines and 3) microturbines. The proposed methodology is evaluated in the 30-bar IEEE system. The results obtained show that distributed generation contributes to the reduction of nodal prices and can help solve congestion problems in the transmission network. |
publishDate |
2009 |
dc.date.issued.none.fl_str_mv |
2009-06-01 |
dc.date.available.none.fl_str_mv |
2019-11-22T19:06:22Z |
dc.date.accessioned.none.fl_str_mv |
2019-11-22T19:06:22Z |
dc.date.none.fl_str_mv |
2009-06-01 |
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 |
2256-4314 1794-9165 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/14508 |
identifier_str_mv |
2256-4314 1794-9165 |
url |
http://hdl.handle.net/10784/14508 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/63 |
dc.relation.uri.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/63 |
dc.rights.eng.fl_str_mv |
Copyright (c) 2009 Jesús María López–Lezama, Antonio Padilha–Feltrin, Luis Alfonso Gallego Pareja |
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 (c) 2009 Jesús María López–Lezama, Antonio Padilha–Feltrin, Luis Alfonso Gallego Pareja Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.eng.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.none.fl_str_mv |
instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
dc.source.spa.fl_str_mv |
Ingeniería y Ciencia; Vol 5, No 9 (2009) |
instname_str |
Universidad EAFIT |
institution |
Universidad EAFIT |
reponame_str |
Repositorio Institucional Universidad EAFIT |
collection |
Repositorio Institucional Universidad EAFIT |
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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 degrees2009-06-012019-11-22T19:06:22Z2009-06-012019-11-22T19:06:22Z2256-43141794-9165http://hdl.handle.net/10784/14508This article presents a methodology for the optimal location of distributed generation in electric power systems. Candidate bars to locate distributed generation are identified based on local marginal prices. These prices are obtained by solving an optimal power flow (OPF) and correspond to the Lagrange multipliers of the active power balance equations in each of the system bars. To include distributed generation in the OPF, it has been modeled as a negative injection of active power. The methodology consists of an iterative nonlinear process where distributed generation is located in the bar with the highest marginal price. Three types of distributed generation were considered: 1) internal combustion engines, 2) gas turbines and 3) microturbines. The proposed methodology is evaluated in the 30-bar IEEE system. The results obtained show that distributed generation contributes to the reduction of nodal prices and can help solve congestion problems in the transmission network.En este artículo se presenta una metodología para la ubicación óptima de generación distribuida en sistemas de energía eléctrica. Las barras candidatas para ubicar la generación distribuida son identificadas basándose en los precios marginales locales. Estos precios son obtenidos al resolver un flujo de potencia óptimo (OPF) y corresponden a los multiplicadores de Lagrange de las ecuaciones de balance de potencia activa en cada una de las barras del sistema. Para incluir la generación distribuida en el OPF, ésta se ha modelado como una inyección negativa de potencia activa. La metodología consiste en un proceso no lineal iterativo en donde la generación distribuida es ubicada en la barra con el mayor precio marginal. Se consideraron tres tipos de generación distribuida: 1) motores de combustión interna, 2) turbinas a gas y 3) microturbinas. La metodología propuesta es evaluada en el sistema IEEE de 30 barras. Los resultados obtenidos muestran que la generación distribuida contribuye a la disminución de los precios nodales y puede ayudar a solucionar problemas de congestión en la red de transmisión.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/63http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/63Copyright (c) 2009 Jesús María López–Lezama, Antonio Padilha–Feltrin, Luis Alfonso Gallego ParejaAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 5, No 9 (2009)Optimal placement of distributed generation in electric power systemUbicación óptima de generación distribuida en sistemas de energía eléctricaarticleinfo: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_2df8fbb1Optimal Power FlowDistributed GenerationLocal Marginal PricesFlujo De Potencia ÓptimoGeneración DistribuidaPrecios Marginales LocalesLópez–Lezama, Jesús MaríaPadilha–Feltrin, AntonioGallego Pareja, Luis AlfonsoUniversidad Estadual Paulista (UNESP)Ingeniería y Ciencia59923ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/1a9b515a-c019-4332-9345-95ee51584bc5/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL1.pdf1.pdfTexto completo PDFapplication/pdf178954https://repository.eafit.edu.co/bitstreams/b59974a2-52e2-44e6-bb51-f20dadfbb143/download6383fc779338d45832a54246c36389faMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html372https://repository.eafit.edu.co/bitstreams/7d718200-8e1f-4096-81fb-0726c3603b59/downloadef17f1ee5d87d5d386c4b277ad0defe3MD5310784/14508oai:repository.eafit.edu.co:10784/145082020-03-02 22:58:17.884open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |