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dc.contributor.authorMoreno-García, Isabel
dc.contributor.authorBollen, M.H.J.
dc.contributor.authorGu, Irene Y.H.
dc.contributor.authorGil-de-Castro, Aurora
dc.contributor.authorMoreno-Muñoz, A.
dc.date.accessioned2017-11-07T12:14:05Z
dc.date.available2017-11-07T12:14:05Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10396/15341
dc.description.abstractThis paper focuses on issues arising from the need to automatically analyze disturbances in the future (smart) grid. Accurate time allocation of events and the sequences of events is an important part of such an analysis. The performance of a joint causal and anti-causal (CaC) segmentation method has been analyzed with a set of real measurement signals, using an alternative detection technique based on a cumulative sum (CUSUM) algorithm. The results show that the location in time of underlying transitions in the power system can be more accurately estimated by combining CaC segmentation methods.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceEnergies 8(8), 8319-8338 (2015)es_ES
dc.subjectElectric power distributiones_ES
dc.subjectElectric power transmissiones_ES
dc.subjectPower quality (PQ)es_ES
dc.subjectSmart gridses_ES
dc.subjectCumulative sum (CUSUM)es_ES
dc.subjectVoltage-dipes_ES
dc.titleNovel Segmentation Technique for Measured Three-Phase Voltage Dipses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/en8088319es_ES
dc.relation.projectIDUnión Europea. FEDER ITC-20131002es_ES
dc.relation.projectIDUnión Europea. FEDER ITC-20131005es_ES
dc.relation.projectIDGobierno de España. TEC2013-47316-C3-1-Pes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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