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An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.contributor.authorAyón Flores, Xiaolin Ivonne
dc.contributor.authorGruber, J.K.
dc.contributor.authorHayes, B.P.
dc.contributor.authorUsaola García, Julio
dc.contributor.authorProdanović, Milan
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-08-24T09:02:52Z
dc.date.available2022-08-24T09:02:52Z
dc.date.issued2017-07-15
dc.description.abstractThe increasing trends of energy demand and renewable integration call for new and advanced approaches to energy management and energy balancing in power networks. Utilities and network system operators require more assistance and flexibility shown from consumers in order to manage their power plants and network resources. Demand response techniques allow customers to participate and contribute to the system balancing and improve power quality. Traditionally, only energy-intensive industrial users and large customers actively participated in demand response programs by intentionally modifying their consumption patterns. In contrast, small consumers were not considered in these programs due to their low individual impact on power networks, grid infrastructure and energy balancing. This paper studies the flexibility of aggregated demands of buildings with different characteristics such as shopping malls, offices, hotels and dwellings. By using the aggregated demand profile and the market price predictions, an aggregator participates directly in the day-ahead market to determine the load scheduling that maximizes its economic benefits. The optimization problem takes into account constraints on the demand imposed by the individual customers related to the building occupant comfort. A case study representing a small geographic area was used to assess the performance of the proposed method. The obtained results emphasize the potential of demand aggregation of different customers in order to increase flexibility and, consequently, aggregator profits in the day-ahead market.es
dc.description.sponsorshipThe authors kindly acknowledge the support of the Spanish Ministry of Economy and Competitiveness project RESmart (ENE2013-48690-C2-2-R).es
dc.format.extent11es
dc.identifier.bibliographicCitationApplied Energy, (2017), v. 198, pp.: 1-11.es
dc.identifier.doihttps://doi.org/10.1016/j.apenergy.2017.04.038
dc.identifier.issn0306-2619
dc.identifier.publicationfirstpage1es
dc.identifier.publicationlastpage11es
dc.identifier.publicationtitleAPPLIED ENERGYes
dc.identifier.publicationvolume198es
dc.identifier.urihttps://hdl.handle.net/10016/35597
dc.identifier.uxxiAR/0000020061
dc.language.isoenges
dc.publisherElsevieres
dc.relation.projectIDGobierno de España. ENE2013-48690-C2-2-R/RESmartes
dc.rights© 2017 Elsevier Ltd. All rights reserved.es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaEnergías Renovableses
dc.subject.otherDemand flexibilityes
dc.subject.otherDemand responsees
dc.subject.otherLoad schedulinges
dc.subject.otherElectricity marketes
dc.titleAn optimal day-ahead load scheduling approach based on the flexibility of aggregate demandses
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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