A centralized home energy management system to minimize consumer’s electricity bill

Detalhes bibliográficos
Autor(a) principal: Nezhad, Ali Esmaeel
Data de Publicação: 2022
Outros Autores: Nardelli, Pedro H. J., Sahoo, Subham, Ghanavati, Farideh, Osório, Gerardo J.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/11328/4485
https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599
Resumo: This work investigates a centralized, high-resolution, and fast model for home energy management. The model is provided within the mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.
id RCAP_fb29ab3b489c7c788e263e9e9afb37a6
oai_identifier_str oai:repositorio.upt.pt:11328/4485
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A centralized home energy management system to minimize consumer’s electricity billTime-of-use tariffHome energy management systemDemand responsemixed-integer linear programmingPythonThis work investigates a centralized, high-resolution, and fast model for home energy management. The model is provided within the mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.IEEE2022-09-23T11:16:14Z2022-09-232022-08-19T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfNezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osório, G. J. (2022). A centralized home energy management system to minimize consumer’s electricity bill. In [Proceedings of] 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599. Repositório Institucional UPT. http://hdl.handle.net/11328/4485http://hdl.handle.net/11328/4485Nezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osório, G. J. (2022). A centralized home energy management system to minimize consumer’s electricity bill. In [Proceedings of] 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599. Repositório Institucional UPT. http://hdl.handle.net/11328/4485http://hdl.handle.net/11328/4485https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599eng978-1-6654-8537-1info:eu-repo/semantics/restrictedAccessinfo:eu-repo/semantics/openAccessNezhad, Ali EsmaeelNardelli, Pedro H. J.Sahoo, SubhamGhanavati, FaridehOsório, Gerardo J.reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-09T02:12:00Zoai:repositorio.upt.pt:11328/4485Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:30:46.192549Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A centralized home energy management system to minimize consumer’s electricity bill
title A centralized home energy management system to minimize consumer’s electricity bill
spellingShingle A centralized home energy management system to minimize consumer’s electricity bill
Nezhad, Ali Esmaeel
Time-of-use tariff
Home energy management system
Demand response
mixed-integer linear programming
Python
title_short A centralized home energy management system to minimize consumer’s electricity bill
title_full A centralized home energy management system to minimize consumer’s electricity bill
title_fullStr A centralized home energy management system to minimize consumer’s electricity bill
title_full_unstemmed A centralized home energy management system to minimize consumer’s electricity bill
title_sort A centralized home energy management system to minimize consumer’s electricity bill
author Nezhad, Ali Esmaeel
author_facet Nezhad, Ali Esmaeel
Nardelli, Pedro H. J.
Sahoo, Subham
Ghanavati, Farideh
Osório, Gerardo J.
author_role author
author2 Nardelli, Pedro H. J.
Sahoo, Subham
Ghanavati, Farideh
Osório, Gerardo J.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Nezhad, Ali Esmaeel
Nardelli, Pedro H. J.
Sahoo, Subham
Ghanavati, Farideh
Osório, Gerardo J.
dc.subject.por.fl_str_mv Time-of-use tariff
Home energy management system
Demand response
mixed-integer linear programming
Python
topic Time-of-use tariff
Home energy management system
Demand response
mixed-integer linear programming
Python
description This work investigates a centralized, high-resolution, and fast model for home energy management. The model is provided within the mixed-integer linear programming (MILP) framework while it benefits from an open-access optimization model in Python for running the model free of charge. To minimize the electricity bill, the time-of-use (TOU) electricity tariff has been selected by the consumer to manage the daily electricity consumption. This consumer-centric home energy management system (HEMS) enhances the flexibility that can be provided by dedicated consumers during peak periods while reducing the electricity bill of the end-users benefiting from the TOU tariff. The time resolution of home appliance scheduling is 15 minutes in this study and it is compatible with the smart metering data recording for energy consumed by the end-users. The simulation results show that the electricity bill would be considerably decreased by using the proposed self-scheduling model.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-23T11:16:14Z
2022-09-23
2022-08-19T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Nezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osório, G. J. (2022). A centralized home energy management system to minimize consumer’s electricity bill. In [Proceedings of] 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599. Repositório Institucional UPT. http://hdl.handle.net/11328/4485
http://hdl.handle.net/11328/4485
Nezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osório, G. J. (2022). A centralized home energy management system to minimize consumer’s electricity bill. In [Proceedings of] 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599. Repositório Institucional UPT. http://hdl.handle.net/11328/4485
http://hdl.handle.net/11328/4485
https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599
identifier_str_mv Nezhad, A. E., Nardelli, P. H. J., Sahoo, S., Ghanavati, F., & Osório, G. J. (2022). A centralized home energy management system to minimize consumer’s electricity bill. In [Proceedings of] 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28th June - 01th July 2022 (pp. 1-5). https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599. Repositório Institucional UPT. http://hdl.handle.net/11328/4485
url http://hdl.handle.net/11328/4485
https://doi.org/10.1109/EEEIC/ICPSEurope54979.2022.9854599
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-6654-8537-1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/openAccess
eu_rights_str_mv restrictedAccess
openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833598144791707648

Registros relacionados