A fully robust home energy management model considering real time price and on-board vehicle batteries

On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more ef...

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Autores: Tostado-Véliz, Marcos, Hasanien, Hany M., Turky, Rania A., Jordehi, Ahmad Rezaee, Mansouri, Seyed Amir, Jurado, Francisco
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/3485
Acceso en línea:https://www.sciencedirect.com/science/article/pii/S2352152X2301928X
https://hdl.handle.net/10953/3485
Access Level:acceso abierto
Palabra clave:Battery energy storage
Electric vehicle
Home energy management
Robust optimization
Uncertainty
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spelling A fully robust home energy management model considering real time price and on-board vehicle batteriesTostado-Véliz, MarcosHasanien, Hany M.Turky, Rania A.Jordehi, Ahmad RezaeeMansouri, Seyed AmirJurado, FranciscoBattery energy storageElectric vehicleHome energy managementRobust optimizationUncertaintyOn-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more efficient use of energy in residential applications. However, these tools normally perform under severe uncertain environments caused by intermittent renewable generation, uncertain prices, uncertain demand as well as uncertain behaviour of electric vehicles. In this regard, further research should be conducted in order to develop advanced robust energy management tools that account for the effect of uncertainties. So far, most of the existing literature focused on simple stochastic approaches, that may pose various issues, while other more sophisticated uncertainty models have not been sufficiently studied. In this regard, this paper proposes a fully robust Home Energy Management model, which accounts for all the inherent uncertainties that may arise in domestic installations. In contrast to previous researches, robust optimization is applied to all the uncertainties, resulting in a tractable, but robust yet paradigm model which allows to adapt the degree of robustness. A case study is conducted on a benchmark prosumer paradigm to validate the new proposal as well as highlight the benefits of flexible appliances. Results reveal the usefulness of the new tool, which allows to handle very unfavourable uncertain profiles, especially in case of the electric vehicles, for which a very low initial state-of-charge and early departure time can be assumed, leading to more conservative results that suppose incrementing the electricity bill by 38 %.Elsevier202420242023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S2352152X2301928Xhttps://hdl.handle.net/10953/3485reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésJournal of Energy Storage [2023]; [72]; [108531]Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/34852026-06-24T12:41:07Z
dc.title.none.fl_str_mv A fully robust home energy management model considering real time price and on-board vehicle batteries
title A fully robust home energy management model considering real time price and on-board vehicle batteries
spellingShingle A fully robust home energy management model considering real time price and on-board vehicle batteries
Tostado-Véliz, Marcos
Battery energy storage
Electric vehicle
Home energy management
Robust optimization
Uncertainty
title_short A fully robust home energy management model considering real time price and on-board vehicle batteries
title_full A fully robust home energy management model considering real time price and on-board vehicle batteries
title_fullStr A fully robust home energy management model considering real time price and on-board vehicle batteries
title_full_unstemmed A fully robust home energy management model considering real time price and on-board vehicle batteries
title_sort A fully robust home energy management model considering real time price and on-board vehicle batteries
dc.creator.none.fl_str_mv Tostado-Véliz, Marcos
Hasanien, Hany M.
Turky, Rania A.
Jordehi, Ahmad Rezaee
Mansouri, Seyed Amir
Jurado, Francisco
author Tostado-Véliz, Marcos
author_facet Tostado-Véliz, Marcos
Hasanien, Hany M.
Turky, Rania A.
Jordehi, Ahmad Rezaee
Mansouri, Seyed Amir
Jurado, Francisco
author_role author
author2 Hasanien, Hany M.
Turky, Rania A.
Jordehi, Ahmad Rezaee
Mansouri, Seyed Amir
Jurado, Francisco
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Battery energy storage
Electric vehicle
Home energy management
Robust optimization
Uncertainty
topic Battery energy storage
Electric vehicle
Home energy management
Robust optimization
Uncertainty
description On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more efficient use of energy in residential applications. However, these tools normally perform under severe uncertain environments caused by intermittent renewable generation, uncertain prices, uncertain demand as well as uncertain behaviour of electric vehicles. In this regard, further research should be conducted in order to develop advanced robust energy management tools that account for the effect of uncertainties. So far, most of the existing literature focused on simple stochastic approaches, that may pose various issues, while other more sophisticated uncertainty models have not been sufficiently studied. In this regard, this paper proposes a fully robust Home Energy Management model, which accounts for all the inherent uncertainties that may arise in domestic installations. In contrast to previous researches, robust optimization is applied to all the uncertainties, resulting in a tractable, but robust yet paradigm model which allows to adapt the degree of robustness. A case study is conducted on a benchmark prosumer paradigm to validate the new proposal as well as highlight the benefits of flexible appliances. Results reveal the usefulness of the new tool, which allows to handle very unfavourable uncertain profiles, especially in case of the electric vehicles, for which a very low initial state-of-charge and early departure time can be assumed, leading to more conservative results that suppose incrementing the electricity bill by 38 %.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S2352152X2301928X
https://hdl.handle.net/10953/3485
url https://www.sciencedirect.com/science/article/pii/S2352152X2301928X
https://hdl.handle.net/10953/3485
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Energy Storage [2023]; [72]; [108531]
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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