Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/1793
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dc.contributor.authorStankovic A.en
dc.contributor.authorSvenda V.en
dc.contributor.authorSarić, Andrijaen
dc.contributor.authorTranstrum M.en
dc.date.accessioned2019-09-23T10:17:50Z-
dc.date.available2019-09-23T10:17:50Z-
dc.date.issued2018-01-29en
dc.identifier.isbn9781538622124en
dc.identifier.issn19449925en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/1793-
dc.description.abstract© 2017 IEEE. The paper proposes a power system state estimation algorithm in the presence of irregular sensor sampling and random communication delays. Our state estimator incorporates Phasor Measurement Units (PMU) and SCADA measurements. We use an Extended Kalman filter based algorithm for time alignment of measurements and state variables. Time stamps are assumed for PMU, SCADA and state estimation. Application of the proposed algorithm is illustrated for hourly/daily load/generation variations on two test examples: 14-bus and 118-bus.en
dc.relation.ispartofIEEE Power and Energy Society General Meetingen
dc.titleHybrid power system state estimation with irregular samplingen
dc.typeConference Paperen
dc.identifier.doi10.1109/PESGM.2017.8274513en
dc.identifier.scopus2-s2.0-85046365951en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85046365951en
dc.relation.lastpage5en
dc.relation.firstpage1en
dc.relation.volume2018-Januaryen
item.grantfulltextnone-
item.fulltextNo Fulltext-
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