Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution

Autores
Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Pinto, Herminio; Magnago, Fernando
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation.
Fil: Alemany, Juan Manuel. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moitre, Diego Carlos Alberto. Universidad Nacional de Rio Cuarto; Argentina
Fil: Pinto, Herminio. Nexant; Estados Unidos
Fil: Magnago, Fernando. Universidad Nacional de Rio Cuarto; Argentina. Nexant; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Combined Cycle Plants
Unit Commitment
Mixed Integer Linear Programming
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22824
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming SolutionAlemany, Juan ManuelMoitre, Diego Carlos AlbertoPinto, HerminioMagnago, FernandoCombined Cycle PlantsUnit CommitmentMixed Integer Linear Programminghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation.Fil: Alemany, Juan Manuel. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moitre, Diego Carlos Alberto. Universidad Nacional de Rio Cuarto; ArgentinaFil: Pinto, Herminio. Nexant; Estados UnidosFil: Magnago, Fernando. Universidad Nacional de Rio Cuarto; Argentina. Nexant; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaScientific Research Publishing2013-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22824Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Pinto, Herminio; Magnago, Fernando; Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution; Scientific Research Publishing; Energy and Power Engineering; 5; 23; 3-2013; 161-170; 294291949-243XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4236/epe.2013.52016info:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/5-6201463_29429.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:38Zoai:ri.conicet.gov.ar:11336/22824instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:07:38.757CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
title Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
spellingShingle Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
Alemany, Juan Manuel
Combined Cycle Plants
Unit Commitment
Mixed Integer Linear Programming
title_short Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
title_full Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
title_fullStr Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
title_full_unstemmed Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
title_sort Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
dc.creator.none.fl_str_mv Alemany, Juan Manuel
Moitre, Diego Carlos Alberto
Pinto, Herminio
Magnago, Fernando
author Alemany, Juan Manuel
author_facet Alemany, Juan Manuel
Moitre, Diego Carlos Alberto
Pinto, Herminio
Magnago, Fernando
author_role author
author2 Moitre, Diego Carlos Alberto
Pinto, Herminio
Magnago, Fernando
author2_role author
author
author
dc.subject.none.fl_str_mv Combined Cycle Plants
Unit Commitment
Mixed Integer Linear Programming
topic Combined Cycle Plants
Unit Commitment
Mixed Integer Linear Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation.
Fil: Alemany, Juan Manuel. Universidad Nacional de Rio Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moitre, Diego Carlos Alberto. Universidad Nacional de Rio Cuarto; Argentina
Fil: Pinto, Herminio. Nexant; Estados Unidos
Fil: Magnago, Fernando. Universidad Nacional de Rio Cuarto; Argentina. Nexant; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation.
publishDate 2013
dc.date.none.fl_str_mv 2013-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/22824
Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Pinto, Herminio; Magnago, Fernando; Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution; Scientific Research Publishing; Energy and Power Engineering; 5; 23; 3-2013; 161-170; 29429
1949-243X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22824
identifier_str_mv Alemany, Juan Manuel; Moitre, Diego Carlos Alberto; Pinto, Herminio; Magnago, Fernando; Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution; Scientific Research Publishing; Energy and Power Engineering; 5; 23; 3-2013; 161-170; 29429
1949-243X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4236/epe.2013.52016
info:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/5-6201463_29429.htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Scientific Research Publishing
publisher.none.fl_str_mv Scientific Research Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842270010775437312
score 13.13397

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