Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3164
DC FieldValueLanguage
dc.contributor.authorKrsman, Vladanen
dc.contributor.authorSarić, Andrijaen
dc.date.accessioned2019-09-23T10:26:05Z-
dc.date.available2019-09-23T10:26:05Z-
dc.date.issued2017-06-22en
dc.identifier.issn17518687en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3164-
dc.description.abstract© The Institution of Engineering and Technology. This study addresses state estimation in three-phase distribution systems, and proposes a new method for bad area detection (BAD) and identification of bad data. The proposed BAD utilises key features of the system such as strong correlation among measurements to identify both bad measurement areas and phases, via decoupled Chi-squares test with newly proposed metrics. The bad data identification detects multiple bad measurements using the whitening (sphering) transformation for re-parameterisation of the measurement residuals. The proposed methodology is verified on two characteristic test examples: (i) modified IEEE 13-bus benchmark test system, and (ii) 186-bus real-world distribution utility feeder.en
dc.relation.ispartofIET Generation, Transmission and Distributionen
dc.titleBad area detection and whitening transformation-based identification in three-phase distribution state estimationen
dc.typeJournal/Magazine Articleen
dc.identifier.doi10.1049/iet-gtd.2016.1866en
dc.identifier.scopus2-s2.0-85021999994en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85021999994en
dc.relation.lastpage2361en
dc.relation.firstpage2351en
dc.relation.issue9en
dc.relation.volume11en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
Appears in Collections:FTN Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

14
checked on Nov 20, 2023

Page view(s)

29
Last Week
4
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


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