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Demand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemes

2019-01Documento de conferência Acesso aberto
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dc.contributor.authorKhorram Ghahfarrokhi, Mahsa
dc.contributor.authorFaria, Pedro
dc.contributor.authorAbrishambaf, Omid
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-18T10:36:16Z
dc.date.available2021-02-18T10:36:16Z
dc.date.issued2019-01
dc.description.abstractAdvancement of renewable energy resources, development of smart grids, and the effectiveness of demand response programs, can be considered as solutions to deal with the rising of energy consumption. However, there is no benefit if the consumers do not have enough automation infrastructure to use the facilities. Since the entire kinds of buildings have a massive portion in electricity usage, equipping them with optimization-based systems can be very effective. For this purpose, this paper proposes an optimization-based model implemented in a Supervisory Control and Data Acquisition, and Multi Agent System. This optimization model is based on power reduction of air conditioners and lighting systems of an office building with respect to the price-based demand response programs, such as real-time pricing. The proposed system utilizes several agents associated with the different distributed based controller devices in order to perform decision making locally and communicate with other agents to fulfill the overall system’s goal. In the case study of the paper, the proposed system is used in order to show the cost reduction in the energy bill of the building, while it respects the user preferences and comfort level.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); Project GREEDI (ANI|P2020 17822); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-99608-0_3pt_PT
dc.identifier.isbn78-3-319-99608-0
dc.identifier.urihttp://hdl.handle.net/10400.22/17034
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-99608-0_3pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOptimizationpt_PT
dc.subjectSCADApt_PT
dc.subjectMulti-agent systempt_PT
dc.titleDemand Response Implementation in an Optimization Based SCADA Model Under Real-Time Pricing Schemespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceToledo, Spainpt_PT
oaire.citation.endPage29pt_PT
oaire.citation.startPage21pt_PT
oaire.citation.titleDistributed Computing and Artificial Intelligence 2018 (DCAI 2018)pt_PT
oaire.citation.volume801pt_PT
oaire.fundingStream5876
person.familyNameKhorram Ghahfarrokhi
person.familyNameFaria
person.familyNameAbrishambaf
person.familyNameVale
person.givenNameMahsa
person.givenNamePedro
person.givenNameOmid
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id9719-75D7-B785
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id7F1A-B942-5BD2
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-0581-2898
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4249-8367
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id57201796142
person.identifier.scopus-author-id57189232486
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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