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Distributed Model Predictive Control for Housing with Hourly Auction of Available Energy

dc.contributor.authorBarata, Filipe André de Sousa Figueira
dc.contributor.authorSilva, R. N.
dc.date.accessioned2013-10-24T10:53:16Z
dc.date.available2013-10-24T10:53:16Z
dc.date.issued2013
dc.description.abstractThis paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that simultaneously optimizes the consumption of a limited shared energy resource. The control objective of each subsystem is to minimize the heating/cooling energy cost while maintaining the indoor temperature and used power inside bounds. In a distributed coordinated environment, the control uses multiple dynamically decoupled agents (one for each subsystem/house) aiming to achieve satisfaction of coupling constraints. According to the hourly power demand profile, each house assigns a priority level that indicates how much is willing to bid in auction for consume the limited clean resource. This procedure allows the bidding value vary hourly and consequently, the agents order to access to the clean energy also varies. Despite of power constraints, all houses have also thermal comfort constraints that must be fulfilled. The system is simulated with several houses in a distributed environment.por
dc.identifier.citationBARATA, F. A.; SILVA, R. N. - Distributed Model Predictive Control for Housing with Hourly Auction of Available Energy. Technological Innovation for the Internet of Things. ISSN 1868-4238. ISBN 978-642-37290-2. Vol. 394 (2013), p. 469-476.por
dc.identifier.isbn978-3-642-37290-2
dc.identifier.issn1868-4238
dc.identifier.urihttp://hdl.handle.net/10400.21/2768
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer-Verlag Berlinpor
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technology;
dc.subjectDMPCpor
dc.subjectDSMpor
dc.subjectLimited resourcespor
dc.subjectEnergy auctionpor
dc.titleDistributed Model Predictive Control for Housing with Hourly Auction of Available Energypor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBerlinpor
oaire.citation.endPage473por
oaire.citation.startPage469por
oaire.citation.titleTechnological Innovation for the Internet of Thingspor
oaire.citation.volume394por
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor

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