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

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dc.contributor.authorAyon, X.
dc.contributor.authorGruber, J. K.
dc.contributor.authorHayes, Barry P.
dc.contributor.authorUsaola, J.
dc.contributor.authorProdanovic, Milan
dc.contributor.funderMinisterio de Economía, Industria y Competitividad, Gobierno de Españaen
dc.date.accessioned2020-08-13T15:51:31Z
dc.date.available2020-08-13T15:51:31Z
dc.date.issued2017-04-26
dc.date.updated2020-08-13T14:26:33Z
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.en
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad, Gobierno de España (Spanish Ministry of Economy and Competitiveness project RESmart (ENE2013-48690-C2-2-R))en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAyón, X., Gruber, J. K., Hayes, B. P., Usaola, J. and Prodanović, M. (2017) 'An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands', Applied Energy, 198, pp. 1-11. doi: 10.1016/j.apenergy.2017.04.038en
dc.identifier.doi10.1016/j.apenergy.2017.04.038en
dc.identifier.endpage11en
dc.identifier.issn0306-2619
dc.identifier.journaltitleApplied Energyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/10393
dc.identifier.volume198en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0306261917304324
dc.rights© 2017 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectDemand flexibilityen
dc.subjectDemand responseen
dc.subjectLoad schedulingen
dc.subjectElectricity marketen
dc.titleAn optimal day-ahead load scheduling approach based on the flexibility of aggregate demandsen
dc.typeArticle (peer-reviewed)en
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