Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/12436
Full metadata record
DC FieldValueLanguage
dc.rights.licenserestrictedAccess-
dc.contributor.authorRanković, Aleksandar-
dc.contributor.authorMaksimovic B.-
dc.contributor.authorSarić A.-
dc.date.accessioned2021-04-20T20:49:48Z-
dc.date.available2021-04-20T20:49:48Z-
dc.date.issued2014-
dc.identifier.issn0142-0615-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/12436-
dc.description.abstractThis paper presents the improved Weighted Least Square (WLS) based three-phase state estimation algorithm for active distribution networks. The three-phase component models are developed for characteristic types of transformers (respecting their winding connections), lines (three and four wires), loads (voltage dependent grounded-Y, ungrounded-Y and ungrounded-Δ) and distributed generation (DG) units (synchronous generator, induction generator and three-phase (three- and four-wire) electronically-coupled based DG units). The unmonitored (or partially monitored) powers of loads and DG units are initially estimated from normalized daily load profiles, or from external inputs (historical database/weather forecast), such as wind, sun and water inflow forecasts, respectively. These measurements are introduced with lower weights (treated as the pseudo-measurements in the proposed state estimation algorithm). The results and practical aspects of the proposed methodology are demonstrated on two characteristic examples: modified IEEE 13-bus test system and 322-bus real-world distribution network. © 2013 Elsevier Ltd. All rights reserved.-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.sourceInternational Journal of Electrical Power and Energy Systems-
dc.titleA three-phase state estimation in active distribution networks-
dc.typearticle-
dc.identifier.doi10.1016/j.ijepes.2013.07.001-
dc.identifier.scopus2-s2.0-84881132751-
Appears in Collections:Faculty of Technical Sciences, Čačak

Page views(s)

436

Downloads(s)

13

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.