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Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme

dc.contributor.authorBento, P.M.R.
dc.contributor.authorNunes, H.G.G.
dc.contributor.authorPombo, José Álvaro Nunes
dc.contributor.authorCalado, M. do Rosário
dc.contributor.authorMariano, S.
dc.date.accessioned2019-05-02T13:08:29Z
dc.date.available2019-05-02T13:08:29Z
dc.date.issued2019-03
dc.description.abstractThe scenario where the renewable generation penetration is steadily on the rise in an increasingly atomized system, with much of the installed capacity “sitting” on a distribution level, is in clear contrast with the “old paradigm” of a natural oligopoly formed by vertical structures. Thereby, the fading of the classical producer–consumer division to a broader prosumer “concept” is fostered. This crucial transition will tackle environmental harms associated with conventional energy sources, especially in this age where a greater concern regarding sustainability and environmental protection exists. The “smoothness” of this transition from a reliable conventional generation mix to a more volatile and “parti-colored" one will be particularly challenging, given escalating electricity demands arising from transportation electrification and proliferation of demand-response mechanisms. In this foreseeable framework, proper Hybrid Energy Systems sizing, and operation strategies will be crucial to dictate the electric power system’s contribution to the “green” agenda. This paper presents an optimal power dispatch strategy for grid-connected/off-grid hybrid energy systems with storage capabilities. The Short-Term Price Forecast information as an important decision-making tool for market players will guide the cost side dispatch strategy, alongside with the storage availability. Different scenarios were examined to highlight the effectiveness of the proposed approach.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en12050924pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/7054
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.subjectHybrid energy systemspt_PT
dc.subjectOptimized dispatch strategypt_PT
dc.subjectPhotovoltaic powerpt_PT
dc.subjectPumped-storage hydropowerpt_PT
dc.subjectShort-term price forecastingpt_PT
dc.subjectWind powerpt_PT
dc.subjectOptimized control strategypt_PT
dc.titleDaily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Schemept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue5pt_PT
oaire.citation.startPage924pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume12pt_PT
person.familyNameRocha Bento
person.familyNameGarcia Nunes
person.familyNamePombo
person.familyNameCalado
person.familyNamePinto Simões Mariano
person.givenNamePedro Miguel
person.givenNameHugo Gabriel
person.givenNameJose
person.givenNameM. do Rosário
person.givenNameSílvio José
person.identifier.ciencia-id7615-8E00-8084
person.identifier.ciencia-id9115-032B-370B
person.identifier.ciencia-id541F-E2B4-D66D
person.identifier.orcid0000-0002-9102-7086
person.identifier.orcid0000-0002-6029-7032
person.identifier.orcid0000-0002-8727-0067
person.identifier.orcid0000-0002-5206-487X
person.identifier.orcid0000-0002-6102-5872
person.identifier.ridV-4684-2018
person.identifier.ridN-6809-2013
person.identifier.ridN-6834-2013
person.identifier.scopus-author-id57196424786
person.identifier.scopus-author-id57195107686
person.identifier.scopus-author-id34977533800
person.identifier.scopus-author-id9338016700
person.identifier.scopus-author-id35612517200
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication40ed2120-90cf-41fa-84fc-d1c85cf8d848
relation.isAuthorOfPublicationcce2060a-24b8-441b-8896-cb4d0b3d3e83
relation.isAuthorOfPublication321aefdd-cd1f-4dd6-878e-c904b3ef89ab
relation.isAuthorOfPublicationcdbb9afc-4123-45ca-a946-89bafda7ab68
relation.isAuthorOfPublication.latestForDiscovery321aefdd-cd1f-4dd6-878e-c904b3ef89ab

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