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Large-scale optimization of households with photovoltaic-battery system and demand response

2020Journal article Open access
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dc.contributor.authorLezama, Fernando
dc.contributor.authorFaia, Ricardo
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-17T13:10:12Z
dc.date.available2021-09-17T13:10:12Z
dc.date.issued2020
dc.description.abstractThe adoption of distributed resources by households, e.g., storage units and renewables, open the possibility of self-consumption (on-site generation), sell energy to the grid as a small producer, or do both according to the context of operation. In this paper, a framework capturing the interactions between an aggregator and a large number of households is envisaged. We consider households equipped with distributed resources and simple smart technologies that look for the reduction of energy bills and can perform demand response actions. A mixed-integer linear programming formulation that provides optimal scheduling of household devices and minimal operation costs is developed. Results show that the model can be applied considering up to 10000 households. Moreover, households can reduce up to 20% of their energy bill on average using storage units and demand response. Besides, the aggregator can attain profits by offering the resulting flexibility to upper-level players of the energy chain, such as the distribution system operator.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the projects UID/EEA/00760/2019 and COLORS PTDC/EEI-EEE/28967/2017, and grants CEECIND/02887/2017 and SFRH/BD/133086/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.ifacol.2020.12.1818pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18407
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896320324289?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEnergy storagept_PT
dc.subjectEnergy management systemspt_PT
dc.subjectLinear programmingpt_PT
dc.subjectOptimizationpt_PT
dc.subjectRenewable energy systemspt_PT
dc.titleLarge-scale optimization of households with photovoltaic-battery system and demand responsept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12577pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage12572pt_PT
oaire.citation.titleIFAC-PapersOnLinept_PT
oaire.citation.volume53pt_PT
person.familyNameLezama
person.familyNameFaia
person.familyNameFaria
person.familyNameVale
person.givenNameFernando
person.givenNameRicardo Francisco Marcos
person.givenNamePedro
person.givenNameZita
person.identifier78FtZwIAAAAJ
person.identifier632184
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id9B12-19F6-D6C7
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublication5866fe1d-e5f9-42fb-a7c8-e35a23d6a6ce
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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