A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response

This paper deals with the optimal sizing of a hybrid photovoltaic-battery storage system for home energy management considering reliability against grid outages and demand response. To that end, a novel optimization framework is developed which aims at minimizing the electricity bill while the relia...

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Detalles Bibliográficos
Autores: Tostado-Véliz, Marcos, Icaza-Alvarez, Daniel, Jurado-Melguizo, Francisco
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
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:10953/2827
Acceso en línea:https://www.sciencedirect.com/science/article/pii/S0960148121001701
https://hdl.handle.net/10953/2827
Access Level:acceso abierto
Palabra clave:Photovoltaic array
Battery storage
Home energy management
Reliability
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spelling A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand responseTostado-Véliz, MarcosIcaza-Alvarez, DanielJurado-Melguizo, FranciscoPhotovoltaic arrayBattery storageHome energy managementReliabilityThis paper deals with the optimal sizing of a hybrid photovoltaic-battery storage system for home energy management considering reliability against grid outages and demand response. To that end, a novel optimization framework is developed which aims at minimizing the electricity bill while the reliability of the system is ensured for certain common outages. In order to ensure the accuracy of the results, a large amount of characteristic outages along with demand, solar irradiance and temperature profiles are generated from real data. Clustering techniques are used for reducing this data to those most characteristics profiles and manage with the unpredictable behaviour of the outage events. Demand response is incorporated via different incentives like tariffs based on time of use and real time pricing, along with the optimal scheduling of different typical deferrable appliances. A case study on a smart-prosumer environment serves to illustrate the capabilities of the developed approach as providing sufficient guidelines for its universal applicability. Different cases studies are simulated considering different battery technologies and electricity tariffs for comparison. Various aspects related with the reliability against grid outages are also analysed like its impact on the project cost or the influence of demand response strategies.Elsevier202420242021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0960148121001701https://hdl.handle.net/10953/2827reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésRenewable Energy [2021]; [170]; [884-896]info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/28272026-06-24T12:41:07Z
dc.title.none.fl_str_mv A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
title A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
spellingShingle A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
Tostado-Véliz, Marcos
Photovoltaic array
Battery storage
Home energy management
Reliability
title_short A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
title_full A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
title_fullStr A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
title_full_unstemmed A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
title_sort A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
dc.creator.none.fl_str_mv Tostado-Véliz, Marcos
Icaza-Alvarez, Daniel
Jurado-Melguizo, Francisco
author Tostado-Véliz, Marcos
author_facet Tostado-Véliz, Marcos
Icaza-Alvarez, Daniel
Jurado-Melguizo, Francisco
author_role author
author2 Icaza-Alvarez, Daniel
Jurado-Melguizo, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Photovoltaic array
Battery storage
Home energy management
Reliability
topic Photovoltaic array
Battery storage
Home energy management
Reliability
description This paper deals with the optimal sizing of a hybrid photovoltaic-battery storage system for home energy management considering reliability against grid outages and demand response. To that end, a novel optimization framework is developed which aims at minimizing the electricity bill while the reliability of the system is ensured for certain common outages. In order to ensure the accuracy of the results, a large amount of characteristic outages along with demand, solar irradiance and temperature profiles are generated from real data. Clustering techniques are used for reducing this data to those most characteristics profiles and manage with the unpredictable behaviour of the outage events. Demand response is incorporated via different incentives like tariffs based on time of use and real time pricing, along with the optimal scheduling of different typical deferrable appliances. A case study on a smart-prosumer environment serves to illustrate the capabilities of the developed approach as providing sufficient guidelines for its universal applicability. Different cases studies are simulated considering different battery technologies and electricity tariffs for comparison. Various aspects related with the reliability against grid outages are also analysed like its impact on the project cost or the influence of demand response strategies.
publishDate 2021
dc.date.none.fl_str_mv 2021
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/S0960148121001701
https://hdl.handle.net/10953/2827
url https://www.sciencedirect.com/science/article/pii/S0960148121001701
https://hdl.handle.net/10953/2827
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Renewable Energy [2021]; [170]; [884-896]
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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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score 15,812429

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