Improving the optimization of electric power systems through a discrete event based simulation model

Autores
Blas, María Julia; Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a novel hybrid approach for studying electric power systems as a combination of the electrical power generation process and the actual state of the transmission lines. The approach is composed of a discrete-event simulation model and a mathematical programming model. The simulation model is designed as a routing problem defined over a set of transmission lines considered (individually) as active, inactive, under maintenance, and outage. On the other hand, the mixed-integer lineal programming model determines the best way to generate and transmit power flows (considering, simultaneously, all possible solutions). This type of model allows solving the economic dispatch problem in lower computational times. It also ensures reaching the global optimum. When adding the discrete-event simulation model for studying the state of transmission lines, the final hybrid approach allows obtaining feasible solutions when the system parameters change. Here, both models (i.e., simulation and optimization models) are combined to improve the capabilities of the model structure to represent real-life scenarios. Our proposal is used to analyze a case study composed of an electric system with six buses, eleven lines, and three generators.
Fil: Blas, María Julia. 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: 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: Sarli, Juan Leonardo. 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
ELECTRIC POWER SYSTEM
MODELING AND SIMULATION
TRANSMISSION LINES
ROUTED DEVS
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:11336/232592
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Improving the optimization of electric power systems through a discrete event based simulation modelBlas, María JuliaAlvarez, Gonzalo ExequielSarli, Juan LeonardoELECTRIC POWER SYSTEMMODELING AND SIMULATIONTRANSMISSION LINESROUTED DEVShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a novel hybrid approach for studying electric power systems as a combination of the electrical power generation process and the actual state of the transmission lines. The approach is composed of a discrete-event simulation model and a mathematical programming model. The simulation model is designed as a routing problem defined over a set of transmission lines considered (individually) as active, inactive, under maintenance, and outage. On the other hand, the mixed-integer lineal programming model determines the best way to generate and transmit power flows (considering, simultaneously, all possible solutions). This type of model allows solving the economic dispatch problem in lower computational times. It also ensures reaching the global optimum. When adding the discrete-event simulation model for studying the state of transmission lines, the final hybrid approach allows obtaining feasible solutions when the system parameters change. Here, both models (i.e., simulation and optimization models) are combined to improve the capabilities of the model structure to represent real-life scenarios. Our proposal is used to analyze a case study composed of an electric system with six buses, eleven lines, and three generators.Fil: Blas, María Julia. 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: 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: Sarli, Juan Leonardo. 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; ArgentinaUniversidad Nacional Autónoma de México2023-02info: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/11336/232592Blas, María Julia; Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Improving the optimization of electric power systems through a discrete event based simulation model; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 21; 1; 2-2023; 17-351665-6423CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://jart.icat.unam.mx/index.php/jart/article/view/2167info:eu-repo/semantics/altIdentifier/doi/10.22201/icat.24486736e.2023.21.1.2167info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:12:02Zoai:ri.conicet.gov.ar:11336/232592instacron: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:34982025-09-10 13:12:02.281CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Improving the optimization of electric power systems through a discrete event based simulation model
title Improving the optimization of electric power systems through a discrete event based simulation model
spellingShingle Improving the optimization of electric power systems through a discrete event based simulation model
Blas, María Julia
ELECTRIC POWER SYSTEM
MODELING AND SIMULATION
TRANSMISSION LINES
ROUTED DEVS
title_short Improving the optimization of electric power systems through a discrete event based simulation model
title_full Improving the optimization of electric power systems through a discrete event based simulation model
title_fullStr Improving the optimization of electric power systems through a discrete event based simulation model
title_full_unstemmed Improving the optimization of electric power systems through a discrete event based simulation model
title_sort Improving the optimization of electric power systems through a discrete event based simulation model
dc.creator.none.fl_str_mv Blas, María Julia
Alvarez, Gonzalo Exequiel
Sarli, Juan Leonardo
author Blas, María Julia
author_facet Blas, María Julia
Alvarez, Gonzalo Exequiel
Sarli, Juan Leonardo
author_role author
author2 Alvarez, Gonzalo Exequiel
Sarli, Juan Leonardo
author2_role author
author
dc.subject.none.fl_str_mv ELECTRIC POWER SYSTEM
MODELING AND SIMULATION
TRANSMISSION LINES
ROUTED DEVS
topic ELECTRIC POWER SYSTEM
MODELING AND SIMULATION
TRANSMISSION LINES
ROUTED DEVS
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 novel hybrid approach for studying electric power systems as a combination of the electrical power generation process and the actual state of the transmission lines. The approach is composed of a discrete-event simulation model and a mathematical programming model. The simulation model is designed as a routing problem defined over a set of transmission lines considered (individually) as active, inactive, under maintenance, and outage. On the other hand, the mixed-integer lineal programming model determines the best way to generate and transmit power flows (considering, simultaneously, all possible solutions). This type of model allows solving the economic dispatch problem in lower computational times. It also ensures reaching the global optimum. When adding the discrete-event simulation model for studying the state of transmission lines, the final hybrid approach allows obtaining feasible solutions when the system parameters change. Here, both models (i.e., simulation and optimization models) are combined to improve the capabilities of the model structure to represent real-life scenarios. Our proposal is used to analyze a case study composed of an electric system with six buses, eleven lines, and three generators.
Fil: Blas, María Julia. 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: 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: Sarli, Juan Leonardo. 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 novel hybrid approach for studying electric power systems as a combination of the electrical power generation process and the actual state of the transmission lines. The approach is composed of a discrete-event simulation model and a mathematical programming model. The simulation model is designed as a routing problem defined over a set of transmission lines considered (individually) as active, inactive, under maintenance, and outage. On the other hand, the mixed-integer lineal programming model determines the best way to generate and transmit power flows (considering, simultaneously, all possible solutions). This type of model allows solving the economic dispatch problem in lower computational times. It also ensures reaching the global optimum. When adding the discrete-event simulation model for studying the state of transmission lines, the final hybrid approach allows obtaining feasible solutions when the system parameters change. Here, both models (i.e., simulation and optimization models) are combined to improve the capabilities of the model structure to represent real-life scenarios. Our proposal is used to analyze a case study composed of an electric system with six buses, eleven lines, and three generators.
publishDate 2023
dc.date.none.fl_str_mv 2023-02
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/11336/232592
Blas, María Julia; Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Improving the optimization of electric power systems through a discrete event based simulation model; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 21; 1; 2-2023; 17-35
1665-6423
CONICET Digital
CONICET
url http://hdl.handle.net/11336/232592
identifier_str_mv Blas, María Julia; Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Improving the optimization of electric power systems through a discrete event based simulation model; Universidad Nacional Autónoma de México; Journal of Applied Research and Technology; 21; 1; 2-2023; 17-35
1665-6423
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://jart.icat.unam.mx/index.php/jart/article/view/2167
info:eu-repo/semantics/altIdentifier/doi/10.22201/icat.24486736e.2023.21.1.2167
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 Universidad Nacional Autónoma de México
publisher.none.fl_str_mv Universidad Nacional Autónoma de México
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_ 1842980623649603584
score 12.993085

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