A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model

Autores
Bragagnolo, Sergio Nicolás; Vaschetti, Jorge Carlos; Magnago, Fernando
Año de publicación
2021
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level, the supplier optimizes it objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on genetic algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulations results illustrate that both cases improve the demand profile and increase the retailer profit. However, when the supplier tries to maximize the profit, some users receive benefits in detriment of others, concluding that the technical approach is preferable than the economical one.
Fil: Bragagnolo, Sergio Nicolás. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Vaschetti, Jorge Carlos. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; Argentina
Fil: Magnago, Fernando. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica. Instituto de Protecciones de Sistemas Eléctricos de Potencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Materia
Demand Side Management
Smart Grids
Demand Response
Multilevel Optimization
Genetic Algorithm
Indirect control
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:11336/157852
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization ModelBragagnolo, Sergio NicolásVaschetti, Jorge CarlosMagnago, FernandoDemand Side ManagementSmart GridsDemand ResponseMultilevel OptimizationGenetic AlgorithmIndirect controlhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level, the supplier optimizes it objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on genetic algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulations results illustrate that both cases improve the demand profile and increase the retailer profit. However, when the supplier tries to maximize the profit, some users receive benefits in detriment of others, concluding that the technical approach is preferable than the economical one.Fil: Bragagnolo, Sergio Nicolás. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Vaschetti, Jorge Carlos. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; ArgentinaFil: Magnago, Fernando. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica. Instituto de Protecciones de Sistemas Eléctricos de Potencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaInstitute of Electrical and Electronics Engineers2021-03-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/157852Bragagnolo, Sergio Nicolás; Vaschetti, Jorge Carlos; Magnago, Fernando; A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 9; 29-3-2021; 1494-15011548-09921548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4824info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:00Zoai:ri.conicet.gov.ar:11336/157852instacron: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:34982025-09-29 10:45:01.01CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
title A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
spellingShingle A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
Bragagnolo, Sergio Nicolás
Demand Side Management
Smart Grids
Demand Response
Multilevel Optimization
Genetic Algorithm
Indirect control
title_short A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
title_full A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
title_fullStr A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
title_full_unstemmed A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
title_sort A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model
dc.creator.none.fl_str_mv Bragagnolo, Sergio Nicolás
Vaschetti, Jorge Carlos
Magnago, Fernando
author Bragagnolo, Sergio Nicolás
author_facet Bragagnolo, Sergio Nicolás
Vaschetti, Jorge Carlos
Magnago, Fernando
author_role author
author2 Vaschetti, Jorge Carlos
Magnago, Fernando
author2_role author
author
dc.subject.none.fl_str_mv Demand Side Management
Smart Grids
Demand Response
Multilevel Optimization
Genetic Algorithm
Indirect control
topic Demand Side Management
Smart Grids
Demand Response
Multilevel Optimization
Genetic Algorithm
Indirect control
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level, the supplier optimizes it objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on genetic algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulations results illustrate that both cases improve the demand profile and increase the retailer profit. However, when the supplier tries to maximize the profit, some users receive benefits in detriment of others, concluding that the technical approach is preferable than the economical one.
Fil: Bragagnolo, Sergio Nicolás. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Vaschetti, Jorge Carlos. Universidad Tecnologica Nacional. Facultad Regional Cordoba. Centro de Investigacion Desarrollo y Transferencia de Ingenieria En Energia Electrica.; Argentina
Fil: Magnago, Fernando. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica. Instituto de Protecciones de Sistemas Eléctricos de Potencia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
description One-level optimization methods have been proposed to optimize the load profile of a single user or a cluster of users in the smart grids. In this work, two two-level optimization methods are studied, one considering technical requirements and other considering economic criteria. In the upper level, the supplier optimizes it objective function. Meanwhile, at the lower level, users optimize their electrical costs. The proposed methods are based on genetic algorithm methods. In this sense, an indirect control is established in which users react to a price signal. Simulations results illustrate that both cases improve the demand profile and increase the retailer profit. However, when the supplier tries to maximize the profit, some users receive benefits in detriment of others, concluding that the technical approach is preferable than the economical one.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-29
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/11336/157852
Bragagnolo, Sergio Nicolás; Vaschetti, Jorge Carlos; Magnago, Fernando; A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 9; 29-3-2021; 1494-1501
1548-0992
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/157852
identifier_str_mv Bragagnolo, Sergio Nicolás; Vaschetti, Jorge Carlos; Magnago, Fernando; A Technical and Economic Criteria Comparison on Demand Side Management with Multi-Level Optimization Model; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 9; 29-3-2021; 1494-1501
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/4824
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 13.070432

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