Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.22/19390 |
Summary: | This paper presents an optimization-based home energy management system, by taking advantages of renewable resources and energy storage system for optimally managing the energy consumption and generation of the house. The surplus of renewable generation will be stored in energy storage system or will be injected into the main grid. An optimization algorithm is developed for this system in order to minimize the electricity bill of the house considering electricity tariffs. Four home appliances are considered to be controlled by this system for reducing the consumption in critical periods. The outcomes of optimization problem are the optimal scheduling of the resources including renewable generation, energy storage system, consumption reduction, and power transactions with the grid. In the case study, the developed model will be employed in three different scenarios, which considers simple electricity prices and time-of- use tariffs in order to test and validate the performance of the developed model. |
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Optimization-Based Home Energy Management System Under Different Electricity Pricing SchemesHome Energy ManagementOptimizationTime-Of-UseRenewable GenerationEnergy StorageThis paper presents an optimization-based home energy management system, by taking advantages of renewable resources and energy storage system for optimally managing the energy consumption and generation of the house. The surplus of renewable generation will be stored in energy storage system or will be injected into the main grid. An optimization algorithm is developed for this system in order to minimize the electricity bill of the house considering electricity tariffs. Four home appliances are considered to be controlled by this system for reducing the consumption in critical periods. The outcomes of optimization problem are the optimal scheduling of the resources including renewable generation, energy storage system, consumption reduction, and power transactions with the grid. In the case study, the developed model will be employed in three different scenarios, which considers simple electricity prices and time-of- use tariffs in order to test and validate the performance of the developed model.IEEEREPOSITÓRIO P.PORTOKhorram, MahsaFaria, PedroVale, Zita2022-01-11T15:01:15Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/19390eng2378-363X10.1109/INDIN.2018.8472101info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:09:19Zoai:recipp.ipp.pt:10400.22/19390Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:44:16.737009Repositórios 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 |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
title |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
spellingShingle |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes Khorram, Mahsa Home Energy Management Optimization Time-Of-Use Renewable Generation Energy Storage |
title_short |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
title_full |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
title_fullStr |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
title_full_unstemmed |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
title_sort |
Optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes |
author |
Khorram, Mahsa |
author_facet |
Khorram, Mahsa Faria, Pedro Vale, Zita |
author_role |
author |
author2 |
Faria, Pedro Vale, Zita |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
dc.contributor.author.fl_str_mv |
Khorram, Mahsa Faria, Pedro Vale, Zita |
dc.subject.por.fl_str_mv |
Home Energy Management Optimization Time-Of-Use Renewable Generation Energy Storage |
topic |
Home Energy Management Optimization Time-Of-Use Renewable Generation Energy Storage |
description |
This paper presents an optimization-based home energy management system, by taking advantages of renewable resources and energy storage system for optimally managing the energy consumption and generation of the house. The surplus of renewable generation will be stored in energy storage system or will be injected into the main grid. An optimization algorithm is developed for this system in order to minimize the electricity bill of the house considering electricity tariffs. Four home appliances are considered to be controlled by this system for reducing the consumption in critical periods. The outcomes of optimization problem are the optimal scheduling of the resources including renewable generation, energy storage system, consumption reduction, and power transactions with the grid. In the case study, the developed model will be employed in three different scenarios, which considers simple electricity prices and time-of- use tariffs in order to test and validate the performance of the developed model. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2022-01-11T15:01:15Z |
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 |
http://hdl.handle.net/10400.22/19390 |
url |
http://hdl.handle.net/10400.22/19390 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2378-363X 10.1109/INDIN.2018.8472101 |
dc.rights.driver.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 |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
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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 |
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info@rcaap.pt |
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1833600674256912384 |