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dc.creatorMaestre Torreblanca, José Maríaes
dc.creatorVelarde Rueda, Pabloes
dc.creatorMuros Ponce, Francisco Javieres
dc.date.accessioned2021-05-14T08:08:53Z
dc.date.available2021-05-14T08:08:53Z
dc.date.issued2019
dc.identifier.citationMaestre Torreblanca, J.M., Velarde, P. y Muros Ponce, F.J. (2019). An Application of the Logarithmic Mean Divisia Index Method for Predictive Control Schemes to a Power Flow Network. En American Control Conference (3243-3248), Philadelphia, PA, USA: Institute of Electrical and Electronics Engineers (IEEE).
dc.identifier.isbn978-1-5386-7926-5/es
dc.identifier.urihttps://hdl.handle.net/11441/109033
dc.description.abstractIn this paper, a method typically used in economics is applied to distributed decision making problems solved by model predictive control. The main purpose is to analyze the changes in certain aggregate indicators under study, which are decomposed among a number of factors. In particular, the logarithmic mean divisia index (LMDI) method is used to study how controllers contribute to the performance and how disturbances are generated. Finally, a flow network, which is a system structure that appears in many real problems such as power grids, is used as an academic case study to illustrate the proposed method.es
dc.formatapplication/pdfes
dc.format.extent6 p.es
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)es
dc.relation.ispartofAmerican Control Conference (2019), pp. 3243-3248.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictive Control Schemeses
dc.subjectPower Flow Networkes
dc.titleAn Application of the Logarithmic Mean Divisia Index Method for Predictive Control Schemes to a Power Flow Networkes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.identifier.doi10.23919/ACC.2019.8815254es
dc.publication.initialPage3243es
dc.publication.endPage3248es
dc.eventtitleAmerican Control Conferencees
dc.eventinstitutionPhiladelphia, PA, USAes

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