An explicit formula based estimation method for distribution network reliability

dc.contributor.authorXiang, Yue
dc.contributor.authorSu, Yunche
dc.contributor.authorWang, Yang
dc.contributor.authorLiu, Junyong
dc.contributor.authorZhang, Xin
dc.date.accessioned2019-11-06T12:23:07Z
dc.date.available2019-11-06T12:23:07Z
dc.date.issued2019-10-31
dc.description.abstractAn improved explicit estimation algorithm is proposed for reliability estimation of distribution network. Firstly, hierarchical clustering is used to identify and cluster typical feeders based on topology structure. Secondly, the explicit formula of reliability indices under each typical feeder topology is derived by regression analysis, to establish the model for network reliability estimation. Numerical simulations show the suitability of the proposed method in obtaining accurate reliability index for diversified network topology.en_UK
dc.identifier.citationXiang Y, Su Y, Wang Y, et al., (2020) An explicit formula based estimation method for distribution network reliability. IEEE Transactions on Power Delivery, Volume 35, August 2020, pp. 2109-2112en_UK
dc.identifier.issn0885-8977
dc.identifier.urihttps://doi.org/10.1109/TPWRD.2019.2949887
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14684
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectreliability evaluationen_UK
dc.subjectexplicit estimationen_UK
dc.subjecthierarchical clusteringen_UK
dc.subjectdistribution network planningen_UK
dc.titleAn explicit formula based estimation method for distribution network reliabilityen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
An_explicit_formula_based_estimation_method-2020.pdf
Size:
964.08 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description: