Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity

Service complementarity between a frequency containment reserve and PV self-consumption can increase incomes for household-prosumers. Moreover, battery/supercapacitor-based hybrid energy storage systems (HESSs) play a major role. Fitting power and energy management improve HESS performance, and ther...

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Detalhes bibliográficos
Autores: de-la-Casa-Hernández, Jesús, Gómez-Gonzalez, Manuel, Sánchez-Sutil, Francisco, Jurado-Melguizo, Francisco
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2021
País:España
Recursos:Universidad de Jaén
Repositório:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/6140
Acesso em linha:https://doi.org/10.1016/j.est.2021.102366
https://www.sciencedirect.com/science/article/pii/S2352152X21001262?via%3Dihub
https://hdl.handle.net/10953/6140
Access Level:Acceso aberto
Palavra-chave:PV power
Frequency containment reserve
Lifetime
Hybrid energy storage system
Multi-objective optimization
Temporal data granularity
621.35
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repository_id_str
spelling Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularityde-la-Casa-Hernández, JesúsGómez-Gonzalez, ManuelSánchez-Sutil, FranciscoJurado-Melguizo, FranciscoPV powerFrequency containment reserveLifetimeHybrid energy storage systemMulti-objective optimizationTemporal data granularity621.35Service complementarity between a frequency containment reserve and PV self-consumption can increase incomes for household-prosumers. Moreover, battery/supercapacitor-based hybrid energy storage systems (HESSs) play a major role. Fitting power and energy management improve HESS performance, and therefore increase the profitability of the asset. Furthermore, component sizing is critical. To achieve both targets, we developed a hybrid meta-heuristic optimization algorithm that deals with the management strategies and sizing. Accordingly, a four-dimensional, non-linear, non-convex, and mixed-integer optimization problem was formulated, and a cost function was minimized by combining the Haar wavelet (WT) transform and the teaching-learning-based optimization (TLBO) method. The algorithm has a flexible design, which is adapted in terms of a number of discrete states to suit input profiles defined according to different time discretizations. The effectiveness of the algorithm was proved by using different data granularity for a PV prosumer in Spain in various service scenarios. The simulations performed in this study reflected both technical and economic impacts. The results suggest that for optimization purposes, high-resolution data should be used to consider the full range of input fluctuations. However, these results largely depend on the service scenario setup. Indeed, in some scenarios, accurate results were obtained by using coarse-grained data, which entailed a lower computational burden. In contrast, in other scenarios, it was preferable to use data with a higher resolution. The optimal combination of services significantly increased the profitability of the asset.Elsevier202520252021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.est.2021.102366https://www.sciencedirect.com/science/article/pii/S2352152X21001262?via%3Dihubhttps://hdl.handle.net/10953/6140reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésJournal of Energy StorageCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/61402026-06-24T12:41:07Z
dc.title.none.fl_str_mv Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
title Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
spellingShingle Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
de-la-Casa-Hernández, Jesús
PV power
Frequency containment reserve
Lifetime
Hybrid energy storage system
Multi-objective optimization
Temporal data granularity
621.35
title_short Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
title_full Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
title_fullStr Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
title_full_unstemmed Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
title_sort Optimization of battery/supercapacitor-based photovoltaic household-prosumers providing self-consumption and frequency containment reserve as influenced by temporal data granularity
dc.creator.none.fl_str_mv de-la-Casa-Hernández, Jesús
Gómez-Gonzalez, Manuel
Sánchez-Sutil, Francisco
Jurado-Melguizo, Francisco
author de-la-Casa-Hernández, Jesús
author_facet de-la-Casa-Hernández, Jesús
Gómez-Gonzalez, Manuel
Sánchez-Sutil, Francisco
Jurado-Melguizo, Francisco
author_role author
author2 Gómez-Gonzalez, Manuel
Sánchez-Sutil, Francisco
Jurado-Melguizo, Francisco
author2_role author
author
author
dc.subject.none.fl_str_mv PV power
Frequency containment reserve
Lifetime
Hybrid energy storage system
Multi-objective optimization
Temporal data granularity
621.35
topic PV power
Frequency containment reserve
Lifetime
Hybrid energy storage system
Multi-objective optimization
Temporal data granularity
621.35
description Service complementarity between a frequency containment reserve and PV self-consumption can increase incomes for household-prosumers. Moreover, battery/supercapacitor-based hybrid energy storage systems (HESSs) play a major role. Fitting power and energy management improve HESS performance, and therefore increase the profitability of the asset. Furthermore, component sizing is critical. To achieve both targets, we developed a hybrid meta-heuristic optimization algorithm that deals with the management strategies and sizing. Accordingly, a four-dimensional, non-linear, non-convex, and mixed-integer optimization problem was formulated, and a cost function was minimized by combining the Haar wavelet (WT) transform and the teaching-learning-based optimization (TLBO) method. The algorithm has a flexible design, which is adapted in terms of a number of discrete states to suit input profiles defined according to different time discretizations. The effectiveness of the algorithm was proved by using different data granularity for a PV prosumer in Spain in various service scenarios. The simulations performed in this study reflected both technical and economic impacts. The results suggest that for optimization purposes, high-resolution data should be used to consider the full range of input fluctuations. However, these results largely depend on the service scenario setup. Indeed, in some scenarios, accurate results were obtained by using coarse-grained data, which entailed a lower computational burden. In contrast, in other scenarios, it was preferable to use data with a higher resolution. The optimal combination of services significantly increased the profitability of the asset.
publishDate 2021
dc.date.none.fl_str_mv 2021
2025
2025
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://doi.org/10.1016/j.est.2021.102366
https://www.sciencedirect.com/science/article/pii/S2352152X21001262?via%3Dihub
https://hdl.handle.net/10953/6140
url https://doi.org/10.1016/j.est.2021.102366
https://www.sciencedirect.com/science/article/pii/S2352152X21001262?via%3Dihub
https://hdl.handle.net/10953/6140
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Energy Storage
dc.rights.none.fl_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
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 15.812455

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