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dc.creatorGonzález Cagigal, Miguel Ángeles
dc.creatorRosendo Macías, José Antonioes
dc.creatorGómez Expósito, Antonioes
dc.date.accessioned2022-09-30T11:41:43Z
dc.date.available2022-09-30T11:41:43Z
dc.date.issued2022-12
dc.identifier.citationGonzález Cagigal, M.Á., Rosendo Macías, J.A. y Gómez Expósito, A. (2022). Identification of the phase connectivity in distribution systems through constrained least squares and confidence-based sequential assignment. International Journal of Electrical Power & Energy Systems, 143, 108445.
dc.identifier.issn0142-0615es
dc.identifier.urihttps://hdl.handle.net/11441/137529
dc.description.abstractThis paper addresses the customer-phase identification problem in three-phase distribution grids including three-phase customers characterized by aggregated energy measurements. The proposed technique first solves a relaxed problem, in which the binary nature of the variables is ignored, which leads to a constrained, least-squares estimation, using as inputs the active and reactive energy readings provided by the smart meters, along with the energy delivered by each phase at the head of the feeder. With the estimated values of the decision variables, and their corresponding variances, a confidence-based selection technique is then applied for the sequential assignment of the customer with the highest joint probability of being connected to one of the three phases but not to the other two. The performance of the proposed procedure is assessed with five different scenarios in terms of accuracy for increasing number of loads and measurement errors. The robustness of the algorithm is additionally tested in the presence of model errors, and its performance is compared to that of existing methods.es
dc.description.sponsorshipProject Solar to Vehicle (S2V) INV-3-2021-I-038es
dc.description.sponsorshipResearch project HySGrid+ CER-20191019es
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systems, 143, 108445.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectConstrained least squareses
dc.subjectGaussian distributiones
dc.subjectPhase identificationes
dc.subjectSmart meteringes
dc.subjectDistribution grides
dc.titleIdentification of the phase connectivity in distribution systems through constrained least squares and confidence-based sequential assignmentes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Eléctricaes
dc.relation.projectIDINV-3-2021-I-038es
dc.relation.projectIDCER-20191019es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0142061522004550es
dc.identifier.doi10.1016/j.ijepes.2022.108445es
dc.contributor.groupUniversidad de Sevilla. TEP196: Sistemas de Energía Eléctricaes
idus.validador.notaUnder a Creative Commons license Open accesses
dc.journaltitleInternational Journal of Electrical Power & Energy Systemses
dc.publication.volumen143es
dc.publication.initialPage108445es

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