Mathematical model to control the Argentine Energy System during the COVID 19 pandemic

Autores
Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo
Año de publicación
2020
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The novel coronavirus disease (COVID-19) has infected million people worldwide, causing more than 700,000 deaths since late 2019. The fight against this pandemic requires a joint effort among different areas as medicine, industry, technology and science. The normal performance of essential services is necessary in the context of facing this disease. The normal electricity supply ensures a correct health response, and it helps with the movements that mitigate the infections, as the social confinement. In consequence, this paper presents a mathematical model that analyzes the behavior of the Argentine Electric System, when the effects that the COVID-19 causes in the population are considered. The model reaches feasible and accurate solutions with low computational times. Test scenarios are based on reports of official agencies and predictions. The obtained results allow identifying critical areas of the system and developing corrective actions. In addition, this helps prepare the system to continue its operations under the worst-case scenarios that may arise from the disease.
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 systems
Mathematical Modelling
COVID-19
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:11336/118348
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Mathematical model to control the Argentine Energy System during the COVID 19 pandemicAlvarez, Gonzalo ExequielSarli, Juan Leonardoelectric power systemsMathematical ModellingCOVID-19https://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The novel coronavirus disease (COVID-19) has infected million people worldwide, causing more than 700,000 deaths since late 2019. The fight against this pandemic requires a joint effort among different areas as medicine, industry, technology and science. The normal performance of essential services is necessary in the context of facing this disease. The normal electricity supply ensures a correct health response, and it helps with the movements that mitigate the infections, as the social confinement. In consequence, this paper presents a mathematical model that analyzes the behavior of the Argentine Electric System, when the effects that the COVID-19 causes in the population are considered. The model reaches feasible and accurate solutions with low computational times. Test scenarios are based on reports of official agencies and predictions. The obtained results allow identifying critical areas of the system and developing corrective actions. In addition, this helps prepare the system to continue its operations under the worst-case scenarios that may arise from the disease.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: 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; ArgentinaInstitute of Electrical and Electronics Engineers2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118348Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Mathematical model to control the Argentine Energy System during the COVID 19 pandemic; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 100; 1e; 9-2020; 1-91548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4199info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:41:43Zoai:ri.conicet.gov.ar:11336/118348instacron: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:34982025-11-05 09:41:43.855CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
title Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
spellingShingle Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
Alvarez, Gonzalo Exequiel
electric power systems
Mathematical Modelling
COVID-19
title_short Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
title_full Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
title_fullStr Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
title_full_unstemmed Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
title_sort Mathematical model to control the Argentine Energy System during the COVID 19 pandemic
dc.creator.none.fl_str_mv Alvarez, Gonzalo Exequiel
Sarli, Juan Leonardo
author Alvarez, Gonzalo Exequiel
author_facet Alvarez, Gonzalo Exequiel
Sarli, Juan Leonardo
author_role author
author2 Sarli, Juan Leonardo
author2_role author
dc.subject.none.fl_str_mv electric power systems
Mathematical Modelling
COVID-19
topic electric power systems
Mathematical Modelling
COVID-19
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The novel coronavirus disease (COVID-19) has infected million people worldwide, causing more than 700,000 deaths since late 2019. The fight against this pandemic requires a joint effort among different areas as medicine, industry, technology and science. The normal performance of essential services is necessary in the context of facing this disease. The normal electricity supply ensures a correct health response, and it helps with the movements that mitigate the infections, as the social confinement. In consequence, this paper presents a mathematical model that analyzes the behavior of the Argentine Electric System, when the effects that the COVID-19 causes in the population are considered. The model reaches feasible and accurate solutions with low computational times. Test scenarios are based on reports of official agencies and predictions. The obtained results allow identifying critical areas of the system and developing corrective actions. In addition, this helps prepare the system to continue its operations under the worst-case scenarios that may arise from the disease.
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 The novel coronavirus disease (COVID-19) has infected million people worldwide, causing more than 700,000 deaths since late 2019. The fight against this pandemic requires a joint effort among different areas as medicine, industry, technology and science. The normal performance of essential services is necessary in the context of facing this disease. The normal electricity supply ensures a correct health response, and it helps with the movements that mitigate the infections, as the social confinement. In consequence, this paper presents a mathematical model that analyzes the behavior of the Argentine Electric System, when the effects that the COVID-19 causes in the population are considered. The model reaches feasible and accurate solutions with low computational times. Test scenarios are based on reports of official agencies and predictions. The obtained results allow identifying critical areas of the system and developing corrective actions. In addition, this helps prepare the system to continue its operations under the worst-case scenarios that may arise from the disease.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
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/11336/118348
Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Mathematical model to control the Argentine Energy System during the COVID 19 pandemic; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 100; 1e; 9-2020; 1-9
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118348
identifier_str_mv Alvarez, Gonzalo Exequiel; Sarli, Juan Leonardo; Mathematical model to control the Argentine Energy System during the COVID 19 pandemic; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 100; 1e; 9-2020; 1-9
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4199
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 Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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 13.087074

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