Economic model predictive control for energy management of a microgrid connected to the main electrical grid

Autores
Alarcón, Martín Alejandro; Alarcón, Rodrigo Germán; González, Alejandro H.; Ferramosca, Antonio
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Electric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.
Fil: Alarcón, Martín Alejandro. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
Fil: Alarcón, Rodrigo Germán. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
Fil: González, Alejandro H. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), CONICET - Universidad Nacional del Litoral (UNL), Argentina.
Fil: Ferramosca, Antonio. Università degli Studi di Bergamo, Italia.
Materia
Economic model predictive control
Energy management
Microgrid
Renewable energy
Storage
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivs 2.5 Argentina
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/12059
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Economic model predictive control for energy management of a microgrid connected to the main electrical gridAlarcón, Martín AlejandroAlarcón, Rodrigo GermánGonzález, Alejandro H.Ferramosca, AntonioEconomic model predictive controlEnergy managementMicrogridRenewable energyStorageElectric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.Fil: Alarcón, Martín Alejandro. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.Fil: Alarcón, Rodrigo Germán. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.Fil: González, Alejandro H. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), CONICET - Universidad Nacional del Litoral (UNL), Argentina.Fil: Ferramosca, Antonio. Università degli Studi di Bergamo, Italia.ScienceDirect2024-12-27T19:31:10Z2022-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfhttp://hdl.handle.net/20.500.12272/12059https://doi.org/10.1016/j.jprocont.2022.07.004enginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 2.5 Argentinahttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/Licencia Creative Commons / CC BY-NC (Autoría – No Comercial)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:47:02Zoai:ria.utn.edu.ar:20.500.12272/12059instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:03.147Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Economic model predictive control for energy management of a microgrid connected to the main electrical grid
title Economic model predictive control for energy management of a microgrid connected to the main electrical grid
spellingShingle Economic model predictive control for energy management of a microgrid connected to the main electrical grid
Alarcón, Martín Alejandro
Economic model predictive control
Energy management
Microgrid
Renewable energy
Storage
title_short Economic model predictive control for energy management of a microgrid connected to the main electrical grid
title_full Economic model predictive control for energy management of a microgrid connected to the main electrical grid
title_fullStr Economic model predictive control for energy management of a microgrid connected to the main electrical grid
title_full_unstemmed Economic model predictive control for energy management of a microgrid connected to the main electrical grid
title_sort Economic model predictive control for energy management of a microgrid connected to the main electrical grid
dc.creator.none.fl_str_mv Alarcón, Martín Alejandro
Alarcón, Rodrigo Germán
González, Alejandro H.
Ferramosca, Antonio
author Alarcón, Martín Alejandro
author_facet Alarcón, Martín Alejandro
Alarcón, Rodrigo Germán
González, Alejandro H.
Ferramosca, Antonio
author_role author
author2 Alarcón, Rodrigo Germán
González, Alejandro H.
Ferramosca, Antonio
author2_role author
author
author
dc.subject.none.fl_str_mv Economic model predictive control
Energy management
Microgrid
Renewable energy
Storage
topic Economic model predictive control
Energy management
Microgrid
Renewable energy
Storage
dc.description.none.fl_txt_mv Electric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.
Fil: Alarcón, Martín Alejandro. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
Fil: Alarcón, Rodrigo Germán. Universidad Tecnológica Nacional, Facultad Regional Reconquista, Grupo de Investigación en Programación Electrónica y Control, Argentina.
Fil: González, Alejandro H. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), CONICET - Universidad Nacional del Litoral (UNL), Argentina.
Fil: Ferramosca, Antonio. Università degli Studi di Bergamo, Italia.
description Electric microgrids have become an interesting tool to facilitate the inclusion of renewable energies. Its architecture and control system plays a fundamental role in the implementation of these systems. This paper proposes a control strategy for the management of energy resources in a residential microgrid. The system is made up of a set of solar panels as renewable resource, a storage system formed by a lithium-ion battery bank and a consumption profile according to a residence. The microgrid will be connected to the main electrical grid and the proposed management strategy consists in the implementation of a suitable Economic Model Predictive Control, where it considers the costs of use for the different components of the microgrid, thus contemplating the participation of the system as an active agent in the electricity market. Simulations were carried out with different scenarios of available resources and prediction times. In all cases, the objectives fulfilling by satisfying the restrictions operational and technical imposed on the system.
publishDate 2022
dc.date.none.fl_str_mv 2022-09
2024-12-27T19:31:10Z
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/20.500.12272/12059
https://doi.org/10.1016/j.jprocont.2022.07.004
url http://hdl.handle.net/20.500.12272/12059
https://doi.org/10.1016/j.jprocont.2022.07.004
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 2.5 Argentina
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Licencia Creative Commons / CC BY-NC (Autoría – No Comercial)
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 2.5 Argentina
http://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Licencia Creative Commons / CC BY-NC (Autoría – No Comercial)
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv ScienceDirect
publisher.none.fl_str_mv ScienceDirect
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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