Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation

This paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of usin...

Full description

Autores:
Montoya Giraldo, Oscar Danilo, Mag.
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/13180
Acceso en línea:
http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691
http://hdl.handle.net/10784/13180
Palabra clave:
Computational thinking
Economic dispatch problem
Mathematical modeling
GAMS optimization package
Nonlinear optimization problem
Students experience
Pensamiento computacional
Despacho económico
Modelado matemático
Paquete de optimización GAMS
Problema de optimización no linea
Rights
License
Copyright (c) 2017 Oscar Danilo Montoya Giraldo, Mag.
id REPOEAFIT2_dee100f0a7332cecc843e053cefbbbb5
oai_identifier_str oai:repository.eafit.edu.co:10784/13180
network_acronym_str REPOEAFIT2
network_name_str Repositorio EAFIT
repository_id_str
dc.title.eng.fl_str_mv Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
dc.title.spa.fl_str_mv Solución de un problema de optimización clásico usando el paquete optimizador GAMS: implementación del problema de despacho económico
title Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
spellingShingle Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
Computational thinking
Economic dispatch problem
Mathematical modeling
GAMS optimization package
Nonlinear optimization problem
Students experience
Pensamiento computacional
Despacho económico
Modelado matemático
Paquete de optimización GAMS
Problema de optimización no linea
title_short Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
title_full Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
title_fullStr Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
title_full_unstemmed Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
title_sort Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem Implementation
dc.creator.fl_str_mv Montoya Giraldo, Oscar Danilo, Mag.
dc.contributor.author.none.fl_str_mv Montoya Giraldo, Oscar Danilo, Mag.
dc.contributor.affiliation.spa.fl_str_mv Universidad Tecnológica de Pereira
dc.subject.keyword.eng.fl_str_mv Computational thinking
Economic dispatch problem
Mathematical modeling
GAMS optimization package
Nonlinear optimization problem
Students experience
topic Computational thinking
Economic dispatch problem
Mathematical modeling
GAMS optimization package
Nonlinear optimization problem
Students experience
Pensamiento computacional
Despacho económico
Modelado matemático
Paquete de optimización GAMS
Problema de optimización no linea
dc.subject.keyword.spa.fl_str_mv Pensamiento computacional
Despacho económico
Modelado matemático
Paquete de optimización GAMS
Problema de optimización no linea
description This paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of using mathematical tools to solve a large scale optimization problem related with engineering. The economic dispatch is a classical optimization problem in operation of thermal electric systems, being the main idea to find an economical operation for thermal generators. This operation is based on a quadratic cost curve with some operating constraints, i.e., power balance and generation capacities. A numerical simulation is implemented using GAMS optimization package in demo version. This research has been developed with the support of 36 students of the course of Regulation and Operation of Electrical Systems (ROES) in the program of Electrical Engineering at Universidad Tecnológica de Pereira (UTP).
publishDate 2017
dc.date.issued.none.fl_str_mv 2017-11-07
dc.date.available.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.accessioned.none.fl_str_mv 2018-11-16T16:28:58Z
dc.date.none.fl_str_mv 2017-11-07
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
article
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://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691
http://hdl.handle.net/10784/13180
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.13.26.2
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciencia.13.26.2
url http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691
http://hdl.handle.net/10784/13180
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691
dc.rights.eng.fl_str_mv Copyright (c) 2017 Oscar Danilo Montoya Giraldo, Mag.
Attribution 4.0 International (CC BY 4.0)
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2017 Oscar Danilo Montoya Giraldo, Mag.
Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.eng.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 39-63
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 13 No 26 (2017); 39-63
instname_str Universidad EAFIT
institution Universidad EAFIT
reponame_str Repositorio Institucional Universidad EAFIT
collection Repositorio Institucional Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/81fb3a63-e659-41ae-9e75-52b4b900ee5d/download
https://repository.eafit.edu.co/bitstreams/e53731ff-aa4a-4e09-809f-70924c0e6861/download
https://repository.eafit.edu.co/bitstreams/ced08b99-6dc2-4a0b-a6a0-ec07c28cac28/download
bitstream.checksum.fl_str_mv ed951e7fe71214afddef899de2f27c0f
f5a714a4992a184d27917f66c273e3bb
da9b21a5c7e00c7f1127cef8e97035e0
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
repository.mail.fl_str_mv repositorio@eafit.edu.co
_version_ 1814110240679919616
spelling 2017-11-072018-11-16T16:28:58Z2017-11-072018-11-16T16:28:58Z2256-43141794-9165http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691http://hdl.handle.net/10784/1318010.17230/ingciencia.13.26.2This paper presents an effectiveness strategy to model and solve nonlinear mathematical optimization problems in electrical engineering using General Algebraic Modeling System (GAMS) for undergraduate students. A classical problem known as economic dispatch has been selected to show the need of using mathematical tools to solve a large scale optimization problem related with engineering. The economic dispatch is a classical optimization problem in operation of thermal electric systems, being the main idea to find an economical operation for thermal generators. This operation is based on a quadratic cost curve with some operating constraints, i.e., power balance and generation capacities. A numerical simulation is implemented using GAMS optimization package in demo version. This research has been developed with the support of 36 students of the course of Regulation and Operation of Electrical Systems (ROES) in the program of Electrical Engineering at Universidad Tecnológica de Pereira (UTP).En este artículo se presenta una estrategia para modelar y resolver problemas no lineales de optimización con estudiantes de pregrado en ingeniería eléctrica empleando el Sistema de Modelado Algebraico General (GAMS). El problema clásico conocido como despacho económico ha sido seleccionado para mostrar la necesidad de usar herramientas matemáticas para resolver problemas de gran tamaño relacionados con ingeniería. El despacho económico es un problema clásico de optimización en operación de sistemas termoeléctricos, cuya idea principal es encontrar la operación más económica para los generadores térmicos. Esta operación está basada en una curva cuadrática de costos con algunas restricciones operativas, como por ejemplo, balance de potencia y capacidades de generación. La simulación numérica es implementada en GAMS usando una versión de prueba. Esta investigación ha sido desarrollada con la ayuda de 36 estudiantes del curso de Regulación y Operación de Sistemas Eléctricos (ROES) del programa de Ingeniería Eléctrica de la Universidad Tecnológica de Pereira (UTP).application/pdfengUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/4691Copyright (c) 2017 Oscar Danilo Montoya Giraldo, Mag.Attribution 4.0 International (CC BY 4.0)http://creativecommons.org/licenses/by/4.0Acceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 13 No 26 (2017); 39-63Ingeniería y Ciencia; Vol 13 No 26 (2017); 39-63Solving a Classical Optimization Problem Using GAMS Optimizer Package: Economic Dispatch Problem ImplementationSolución de un problema de optimización clásico usando el paquete optimizador GAMS: implementación del problema de despacho económicoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlepublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Computational thinkingEconomic dispatch problemMathematical modelingGAMS optimization packageNonlinear optimization problemStudents experiencePensamiento computacionalDespacho económicoModelado matemáticoPaquete de optimización GAMSProblema de optimización no lineaMontoya Giraldo, Oscar Danilo, Mag.Universidad Tecnológica de PereiraIngeniería y Ciencia13263963ing.ciencORIGINAL2.pdf2.pdfTexto completo PDFapplication/pdf1010449https://repository.eafit.edu.co/bitstreams/81fb3a63-e659-41ae-9e75-52b4b900ee5d/downloaded951e7fe71214afddef899de2f27c0fMD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/e53731ff-aa4a-4e09-809f-70924c0e6861/downloadf5a714a4992a184d27917f66c273e3bbMD53THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/ced08b99-6dc2-4a0b-a6a0-ec07c28cac28/downloadda9b21a5c7e00c7f1127cef8e97035e0MD5110784/13180oai:repository.eafit.edu.co:10784/131802020-03-01 17:28:16.742http://creativecommons.org/licenses/by/4.0Copyright (c) 2017 Oscar Danilo Montoya Giraldo, Mag.open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co

Publicaciones similares