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dc.contributor.authorNassourou, M
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorBlesa Izquierdo, Joaquim
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2018-03-07T11:13:48Z
dc.date.available2018-03-07T11:13:48Z
dc.date.issued2017
dc.identifier.citationNassourou, M., Puig, V., Blesa, J., Ocampo-Martinez, C.A. Economic model predictive control for energy dispatch of a smart microgrid system. A: International Conference on Control, Decision and Information Technologies. "4th-2017 International Conference on Control, Decision and Information Technologies". 05/04/2017, p. 944-949.
dc.identifier.urihttp://hdl.handle.net/2117/114894
dc.description© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThe problem of energy dispatch in heterogeneous complex systems such as smart grids cannot be efficiently solved using classical control or ad-hoc methods. This paper proposes the application of Economic Model Predictive Control (EMPC) for the management of a smart micro-grid system connected to an electrical power grid. The system comprises several subsystems, namely some photovoltaic (PV) panels, a wind generator, a hydroelectric generator, a diesel generator, and some storage devices (batteries). The batteries are charged with the energy from the PV panels, wind and hydroelectric generators, and they are discharged whenever the generators produce less energy than needed. The subsystems are interconnected via a DC Bus, from which load demands are satisfied. Assuming the load demand and the energy prices to be known, this study shows that EMPC is economically superior to other Model Predictive Control (MPC) based strategies (a standard tracking MPC, and their cascaded version in form of hierarchical two-layer approach).
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshSmart power grids
dc.subject.lcshPredictive control
dc.subject.othercontrol theory. Smart grid
dc.subject.otherEnergy Dispatch
dc.subject.otherModel Predictive Control
dc.subject.otherEconomic Model Predictive Control
dc.titleEconomic model predictive control for energy dispatch of a smart microgrid system
dc.typeConference report
dc.subject.lemacControl predictiu
dc.subject.lemacXarxes intel·ligents
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.identifier.doi10.1109/CoDIT.2017.8102719
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/8102719/
dc.rights.accessOpen Access
local.identifier.drac21901216
dc.description.versionPostprint (author's final draft)
local.citation.authorNassourou, M.; Puig, V.; Blesa, J.; Ocampo-Martinez, C.A.
local.citation.contributorInternational Conference on Control, Decision and Information Technologies
local.citation.publicationName4th-2017 International Conference on Control, Decision and Information Technologies
local.citation.startingPage944
local.citation.endingPage949


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