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A residential energy management system with offline population-based optimization

2017Conference object Open access
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dc.contributor.authorSoares, João
dc.contributor.authorLezama, Fernando
dc.contributor.authorRamos, Sérgio
dc.contributor.authorVale, Zita
dc.contributor.authorLopes, Andre
dc.date.accessioned2021-03-09T11:55:15Z
dc.date.available2021-03-09T11:55:15Z
dc.date.issued2017
dc.description.abstractExpectable improvements in battery technology and lower prices will certainly contribute to increase the interest in residential energy storage systems in the near future. The installment of photovoltaic panels and the use of energy storage systems will help to reduce power losses in distribution and transmission power grid and increase network availability, and consequently, to reduce the dependency on the use of fossil fuels. The paper presents a light implementation of residential energy management system that integrates photovoltaic generation, an energy storage system and an electric vehicle. The goal of the system is to reduce the costs of electric consumer energy bill. The effectiveness of the system is verified through its application in several scenarios for the Portuguese context. An offline population-based algorithm, namely differential evolution method is used to adjust the objective function for the online control of the energy devices in the residential house.pt_PT
dc.description.sponsorshipThe present work has been developed under the EUREKA - ITEA2 Project FUSE-IT (ITEA-13023), Project GREEDI (ANI|P2020 17822), and has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2017.8285429pt_PT
dc.identifier.isbn978-1-5386-2726-6
dc.identifier.urihttp://hdl.handle.net/10400.22/17322
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationITEA-13023pt_PT
dc.relationANI|P2020 17822pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8285429pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDifferential evolutionpt_PT
dc.subjectEnergy management systempt_PT
dc.subjectEnergy costspt_PT
dc.subjectEnergy storagept_PT
dc.subjectElectric vehiclept_PT
dc.subjectPhotovoltaicpt_PT
dc.titleA residential energy management system with offline population-based optimizationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceHonolulu, HI, USApt_PT
oaire.citation.endPage7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE Symposium Series on Computational Intelligence (SSCI 2017)pt_PT
oaire.fundingStream5876
person.familyNameSoares
person.familyNameLezama
person.familyNameCarvalho Ramos
person.familyNameVale
person.givenNameJoão
person.givenNameFernando
person.givenNameSérgio Filipe
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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