Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/2976
DC FieldValueLanguage
dc.contributor.authorVidović, Predragen
dc.contributor.authorSarić, Andrijaen
dc.date.accessioned2019-09-23T10:24:57Z-
dc.date.available2019-09-23T10:24:57Z-
dc.date.issued2017-09-01en
dc.identifier.issn1420615en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/2976-
dc.description.abstract© 2017 Elsevier Ltd This paper proposes a novel correlated intervals-based algorithm for calculation of distribution power flows. The non-conservative interval operations are proposed. It takes into account the uncertainties of renewable resource-based generations (wind generators, solar panels and other) and distribution network loads. Their correlations are calculated from historically recorded patterns of input variables and directly integrated into the adopted forward-backward distribution power flow algorithm. The proposed algorithm is tested on two distribution network test examples: (1) 6-bus with the aim of detailed illustration of some algorithmic steps, and (2) 1003-bus for verification of global performances of the proposed algorithm. Obtained results are verified by Monte Carlo sampling and power flow calculations.en
dc.relation.ispartofInternational Journal of Electrical Power and Energy Systemsen
dc.titleA novel correlated intervals-based algorithm for distribution power flow calculationen
dc.typeJournal/Magazine Articleen
dc.identifier.doi10.1016/j.ijepes.2016.12.019en
dc.identifier.scopus2-s2.0-85013776495en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85013776495en
dc.relation.lastpage255en
dc.relation.firstpage245en
dc.relation.volume90en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
Appears in Collections:FTN Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

11
checked on May 10, 2024

Page view(s)

25
Last Week
10
Last month
6
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


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