Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints
- Autores
- Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-Constrained Unit Commitment Problem (SCUC). Transmission Constraints are introduced through bus balances, line power bound flows, and bus voltage angle differences. Line status is also considered. Binary variables regarding line status (active or inactive) are introduced for this purpose. These variables allow discrete decisions on the connectivity of buses, reducing the angle coupling between buses, with several advantages. Three examples are solved. The results indicate that this method can obtain feasible solutions with CPU times of 2.5 s (for a 6-bus system) and 500 s (for the IEEE 118-bus system), and they reached cost savings up to 4.9% of the total generating cost for one day of programming horizon, in comparison with classical models. Relations of the network are illustrated graphically, and an analysis of the results is presented through new evaluation indexes.
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. 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
-
MIXED INTEGER LINEAR PROGRAMMING
OPTIMIZATION
POWER SYSTEM SCHEDULING
TRANSMISSION CONSTRAINTS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/86934
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Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraintsAlvarez, Gonzalo ExequielMarcovecchio, Marian GabrielaAguirre, Pio AntonioMIXED INTEGER LINEAR PROGRAMMINGOPTIMIZATIONPOWER SYSTEM SCHEDULINGTRANSMISSION CONSTRAINTShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-Constrained Unit Commitment Problem (SCUC). Transmission Constraints are introduced through bus balances, line power bound flows, and bus voltage angle differences. Line status is also considered. Binary variables regarding line status (active or inactive) are introduced for this purpose. These variables allow discrete decisions on the connectivity of buses, reducing the angle coupling between buses, with several advantages. Three examples are solved. The results indicate that this method can obtain feasible solutions with CPU times of 2.5 s (for a 6-bus system) and 500 s (for the IEEE 118-bus system), and they reached cost savings up to 4.9% of the total generating cost for one day of programming horizon, in comparison with classical models. Relations of the network are illustrated graphically, and an analysis of the results is presented through new evaluation indexes.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. 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; ArgentinaPergamon-Elsevier Science Ltd2018-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86934Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 115; 7-2018; 455-4730098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0098135418304150info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2018.05.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:35Zoai:ri.conicet.gov.ar:11336/86934instacron: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 09:52:35.656CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
title |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
spellingShingle |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints Alvarez, Gonzalo Exequiel MIXED INTEGER LINEAR PROGRAMMING OPTIMIZATION POWER SYSTEM SCHEDULING TRANSMISSION CONSTRAINTS |
title_short |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
title_full |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
title_fullStr |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
title_full_unstemmed |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
title_sort |
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints |
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 |
MIXED INTEGER LINEAR PROGRAMMING OPTIMIZATION POWER SYSTEM SCHEDULING TRANSMISSION CONSTRAINTS |
topic |
MIXED INTEGER LINEAR PROGRAMMING OPTIMIZATION POWER SYSTEM SCHEDULING TRANSMISSION CONSTRAINTS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-Constrained Unit Commitment Problem (SCUC). Transmission Constraints are introduced through bus balances, line power bound flows, and bus voltage angle differences. Line status is also considered. Binary variables regarding line status (active or inactive) are introduced for this purpose. These variables allow discrete decisions on the connectivity of buses, reducing the angle coupling between buses, with several advantages. Three examples are solved. The results indicate that this method can obtain feasible solutions with CPU times of 2.5 s (for a 6-bus system) and 500 s (for the IEEE 118-bus system), and they reached cost savings up to 4.9% of the total generating cost for one day of programming horizon, in comparison with classical models. Relations of the network are illustrated graphically, and an analysis of the results is presented through new evaluation indexes. 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. 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 |
This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-Constrained Unit Commitment Problem (SCUC). Transmission Constraints are introduced through bus balances, line power bound flows, and bus voltage angle differences. Line status is also considered. Binary variables regarding line status (active or inactive) are introduced for this purpose. These variables allow discrete decisions on the connectivity of buses, reducing the angle coupling between buses, with several advantages. Three examples are solved. The results indicate that this method can obtain feasible solutions with CPU times of 2.5 s (for a 6-bus system) and 500 s (for the IEEE 118-bus system), and they reached cost savings up to 4.9% of the total generating cost for one day of programming horizon, in comparison with classical models. Relations of the network are illustrated graphically, and an analysis of the results is presented through new evaluation indexes. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-07 |
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/11336/86934 Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 115; 7-2018; 455-473 0098-1354 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/86934 |
identifier_str_mv |
Alvarez, Gonzalo Exequiel; Marcovecchio, Marian Gabriela; Aguirre, Pio Antonio; Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 115; 7-2018; 455-473 0098-1354 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0098135418304150 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compchemeng.2018.05.001 |
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 application/pdf |
dc.publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
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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1842269169508155392 |
score |
13.13397 |