Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation

Autores
Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The benefits of good scheduling of electrical units are widely known (De la Torre et al, 2008). In this paper, a new approach to account for the Security-Constrained Unit Commitment (SCUC) is presented. A model is developed as a deterministic optimization problem, giving rise to a MILP formulation. Demand, reserve, and unit constraints are taken from a previous paper (Marcovecchio et al, 2014). Transmission constraints including buses balance, lower and upper bound for line power flows, and bus voltage angle constraints are included in this paper. Identification of loops matrix is not necessary as it is the case in several formulations (Stagg et al, 1968). Scheduling was solved for a 6-bus 3-generator and 11 transmission line problem and a 31-bus 16-generator and 43-transmission line problem. Computational times are very low, being 0.189 and 118.160 CPU sec. respectively. Relationship between capacity usage and occupied time for all generators is analyzed. In a similar way, power flow in each line related to the power flow in output and input bus connected to each line is addressed. This information is depicted by simple graphs.
Fil: Alvarez, Gonzalo Exequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Marcovecchio, Marian Gabriela. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Optimization
Power System Scheduling
Security-Constrained Unit Commitment (Scuc)
Transmission Constraints
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:11336/38490
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Unit Commitment Scheduling Including Transmission Constraints: a MILP FormulationAlvarez, Gonzalo ExequielMarcovecchio, Marian GabrielaAguirre, Pio AntonioOptimizationPower System SchedulingSecurity-Constrained Unit Commitment (Scuc)Transmission Constraintshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The benefits of good scheduling of electrical units are widely known (De la Torre et al, 2008). In this paper, a new approach to account for the Security-Constrained Unit Commitment (SCUC) is presented. A model is developed as a deterministic optimization problem, giving rise to a MILP formulation. Demand, reserve, and unit constraints are taken from a previous paper (Marcovecchio et al, 2014). Transmission constraints including buses balance, lower and upper bound for line power flows, and bus voltage angle constraints are included in this paper. Identification of loops matrix is not necessary as it is the case in several formulations (Stagg et al, 1968). Scheduling was solved for a 6-bus 3-generator and 11 transmission line problem and a 31-bus 16-generator and 43-transmission line problem. Computational times are very low, being 0.189 and 118.160 CPU sec. respectively. Relationship between capacity usage and occupied time for all generators is analyzed. In a similar way, power flow in each line related to the power flow in output and input bus connected to each line is addressed. This information is depicted by simple graphs.Fil: Alvarez, Gonzalo Exequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Marcovecchio, Marian Gabriela. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaElsevier B.V.2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/38490Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation; Elsevier B.V.; Computer Aided Chemical Engineering; 38; 6-2016; 2157-21621570-7946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63428-3.50364-7info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444634283503647info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:38Zoai:ri.conicet.gov.ar:11336/38490instacron: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 10:04:38.843CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
title Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
spellingShingle Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
Alvarez, Gonzalo Exequiel
Optimization
Power System Scheduling
Security-Constrained Unit Commitment (Scuc)
Transmission Constraints
title_short Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
title_full Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
title_fullStr Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
title_full_unstemmed Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
title_sort Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
dc.creator.none.fl_str_mv Alvarez, Gonzalo Exequiel
Marcovecchio, Marian Gabriela
Aguirre, Pio Antonio
author Alvarez, Gonzalo Exequiel
author_facet Alvarez, Gonzalo Exequiel
Marcovecchio, Marian Gabriela
Aguirre, Pio Antonio
author_role author
author2 Marcovecchio, Marian Gabriela
Aguirre, Pio Antonio
author2_role author
author
dc.subject.none.fl_str_mv Optimization
Power System Scheduling
Security-Constrained Unit Commitment (Scuc)
Transmission Constraints
topic Optimization
Power System Scheduling
Security-Constrained Unit Commitment (Scuc)
Transmission Constraints
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The benefits of good scheduling of electrical units are widely known (De la Torre et al, 2008). In this paper, a new approach to account for the Security-Constrained Unit Commitment (SCUC) is presented. A model is developed as a deterministic optimization problem, giving rise to a MILP formulation. Demand, reserve, and unit constraints are taken from a previous paper (Marcovecchio et al, 2014). Transmission constraints including buses balance, lower and upper bound for line power flows, and bus voltage angle constraints are included in this paper. Identification of loops matrix is not necessary as it is the case in several formulations (Stagg et al, 1968). Scheduling was solved for a 6-bus 3-generator and 11 transmission line problem and a 31-bus 16-generator and 43-transmission line problem. Computational times are very low, being 0.189 and 118.160 CPU sec. respectively. Relationship between capacity usage and occupied time for all generators is analyzed. In a similar way, power flow in each line related to the power flow in output and input bus connected to each line is addressed. This information is depicted by simple graphs.
Fil: Alvarez, Gonzalo Exequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Marcovecchio, Marian Gabriela. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description The benefits of good scheduling of electrical units are widely known (De la Torre et al, 2008). In this paper, a new approach to account for the Security-Constrained Unit Commitment (SCUC) is presented. A model is developed as a deterministic optimization problem, giving rise to a MILP formulation. Demand, reserve, and unit constraints are taken from a previous paper (Marcovecchio et al, 2014). Transmission constraints including buses balance, lower and upper bound for line power flows, and bus voltage angle constraints are included in this paper. Identification of loops matrix is not necessary as it is the case in several formulations (Stagg et al, 1968). Scheduling was solved for a 6-bus 3-generator and 11 transmission line problem and a 31-bus 16-generator and 43-transmission line problem. Computational times are very low, being 0.189 and 118.160 CPU sec. respectively. Relationship between capacity usage and occupied time for all generators is analyzed. In a similar way, power flow in each line related to the power flow in output and input bus connected to each line is addressed. This information is depicted by simple graphs.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
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/11336/38490
Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation; Elsevier B.V.; Computer Aided Chemical Engineering; 38; 6-2016; 2157-2162
1570-7946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/38490
identifier_str_mv Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation; Elsevier B.V.; Computer Aided Chemical Engineering; 38; 6-2016; 2157-2162
1570-7946
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63428-3.50364-7
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444634283503647
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
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
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
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score 13.13397

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