Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs

[EN] Recent advancements in sensor technologies have significantly improved the monitoring and control of various energy parameters, enabling more precise and adaptive management strategies for smart microgrids. This work presents a novel model of an energy management system (EMS) for grid-connected...

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Autores: Ennassiri, Yassine, Simón Martín, Miguel de, Bracco, Stefano, Robba, Michela
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Ajuntament de Barcelona
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/22847
Acceso en línea:https://hdl.handle.net/10612/22847
Access Level:acceso abierto
Palabra clave:Electrotecnia
Energía
Ingenierías
Ingeniería industrial
Energy management system
Energy polygeneration
Energy storage systems
Electrical vehicle
Solar photovoltaics
Wind energy
5312.05 Energía
3322.01 Distribución de la Energía
id ES_d6123c60f4ffdf2e322e1a67491a8e25
oai_identifier_str oai:buleria.unileon.es:10612/22847
network_acronym_str ES
network_name_str España
repository_id_str
spelling Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment CostsEnnassiri, YassineSimón Martín, Miguel deBracco, StefanoRobba, MichelaElectrotecniaEnergíaIngenieríasIngeniería industrialEnergy management systemEnergy polygenerationEnergy storage systemsElectrical vehicleSolar photovoltaicsWind energy5312.05 Energía3322.01 Distribución de la Energía[EN] Recent advancements in sensor technologies have significantly improved the monitoring and control of various energy parameters, enabling more precise and adaptive management strategies for smart microgrids. This work presents a novel model of an energy management system (EMS) for grid-connected polygeneration microgrids that allows optimizing the management of electrical storage systems, electric vehicles, and other deferrable loads such as heat pumps. The main novelty of this model is that it incorporates both climate comfort variables and the consideration of the degradation of the energy storage capacity in the control strategy, as well as a penalty for the dumping of surpluses. The model has been applied to a smart, sustainable building as a case study. The results show that the proposed model is highly adaptable to diverse weather conditions, minimizing renewable energy losses while satisfying the energy demand and providing comfort to the building’s users. The study shows (i) that EVs’ dynamic charging schedules play a crucial role, (ii) that it is possible to minimize a battery’s degradation by optimizing its cycling, averaging one cycle per day, and (iii) the critical impact of seasonal weather patterns on microgrid energy management and the strategic role of EVs and storage systems in maintaining energy balance and efficiency.[ES] Los recientes avances en las tecnologías de sensores han mejorado significativamente la monitorización y el control de diversos parámetros energéticos, permitiendo estrategias de gestión más precisas y adaptativas para microrredes inteligentes. Este trabajo presenta un novedoso modelo de sistema de gestión energética (SGE) para microrredes de poligeneración conectadas a red que permite optimizar la gestión de sistemas de almacenamiento eléctrico, vehículos eléctricos y otras cargas aplazables como las bombas de calor. La principal novedad de este modelo es que incorpora tanto variables de confort climático como la consideración de la degradación de la capacidad de almacenamiento de energía en la estrategia de control, así como una penalización por el vertido de excedentes. El modelo se ha aplicado a un edificio inteligente y sostenible como caso de estudio. Los resultados muestran que el modelo propuesto es altamente adaptable a diversas condiciones meteorológicas, minimizando las pérdidas de energía renovable al tiempo que satisface la demanda energética y proporciona confort a los usuarios del edificio. El estudio muestra (i) que los horarios de carga dinámica de los VE desempeñan un papel crucial, (ii) que es posible minimizar la degradación de una batería optimizando sus ciclos, con una media de un ciclo al día, y (iii) el impacto crítico de los patrones meteorológicos estacionales en la gestión energética de las microrredes y el papel estratégico de los VE y los sistemas de almacenamiento para mantener el equilibrio y la eficiencia energéticos.SIUnión EuropeaMDPIIngenieria ElectricaEscuela de Ingenierias Industrial, Informática y Aeroespacial2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/10612/22847reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Ajuntament de BarcelonaInglésThis work was partially supported by the “Network 4 Energy Sustainable Transition— NEST” project (MUR project code PE000021, Concession Decree No. 1561 of 11.10.2022) in the framework of the Next Generation EU PNRR Plan (CUP D33C22001330002).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/228472026-06-24T12:43:27Z
dc.title.none.fl_str_mv Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
title Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
spellingShingle Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
Ennassiri, Yassine
Electrotecnia
Energía
Ingenierías
Ingeniería industrial
Energy management system
Energy polygeneration
Energy storage systems
Electrical vehicle
Solar photovoltaics
Wind energy
5312.05 Energía
3322.01 Distribución de la Energía
title_short Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
title_full Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
title_fullStr Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
title_full_unstemmed Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
title_sort Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs
dc.creator.none.fl_str_mv Ennassiri, Yassine
Simón Martín, Miguel de
Bracco, Stefano
Robba, Michela
author Ennassiri, Yassine
author_facet Ennassiri, Yassine
Simón Martín, Miguel de
Bracco, Stefano
Robba, Michela
author_role author
author2 Simón Martín, Miguel de
Bracco, Stefano
Robba, Michela
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingenieria Electrica
Escuela de Ingenierias Industrial, Informática y Aeroespacial
dc.subject.none.fl_str_mv Electrotecnia
Energía
Ingenierías
Ingeniería industrial
Energy management system
Energy polygeneration
Energy storage systems
Electrical vehicle
Solar photovoltaics
Wind energy
5312.05 Energía
3322.01 Distribución de la Energía
topic Electrotecnia
Energía
Ingenierías
Ingeniería industrial
Energy management system
Energy polygeneration
Energy storage systems
Electrical vehicle
Solar photovoltaics
Wind energy
5312.05 Energía
3322.01 Distribución de la Energía
description [EN] Recent advancements in sensor technologies have significantly improved the monitoring and control of various energy parameters, enabling more precise and adaptive management strategies for smart microgrids. This work presents a novel model of an energy management system (EMS) for grid-connected polygeneration microgrids that allows optimizing the management of electrical storage systems, electric vehicles, and other deferrable loads such as heat pumps. The main novelty of this model is that it incorporates both climate comfort variables and the consideration of the degradation of the energy storage capacity in the control strategy, as well as a penalty for the dumping of surpluses. The model has been applied to a smart, sustainable building as a case study. The results show that the proposed model is highly adaptable to diverse weather conditions, minimizing renewable energy losses while satisfying the energy demand and providing comfort to the building’s users. The study shows (i) that EVs’ dynamic charging schedules play a crucial role, (ii) that it is possible to minimize a battery’s degradation by optimizing its cycling, averaging one cycle per day, and (iii) the critical impact of seasonal weather patterns on microgrid energy management and the strategic role of EVs and storage systems in maintaining energy balance and efficiency.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10612/22847
url https://hdl.handle.net/10612/22847
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv This work was partially supported by the “Network 4 Energy Sustainable Transition— NEST” project (MUR project code PE000021, Concession Decree No. 1561 of 11.10.2022) in the framework of the Next Generation EU PNRR Plan (CUP D33C22001330002).
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Ajuntament de Barcelona
instname_str Ajuntament de Barcelona
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420804396023808
score 15.811543

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