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Research on Single Phase to Ground Fault Line Selection ofDistribution Network Based on KNN Algorithm(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2020年03期
Page:
27-31
Research Field:
电气工程
Publishing date:

Info

Title:
Research on Single Phase to Ground Fault Line Selection ofDistribution Network Based on KNN Algorithm
Author(s):
School of NARI Electrical and Automation; Nanjing Normal University; Nanjing 210023; China
Single phase to ground fault line selection is a difficult problem in the field of distribution network. In view of the poor applicability and low line selection accuracy of traditional fault line selection schemes that use a single criterion,this paper proposes a single phase to ground fault line selection method based on K-nearest-neighbor(KNN)algorithm combined with multi-source information fusion,which selects the fault feature quantity for the fault data processing and combines the KNN algorithm to select the fault line. The simulation study of the calculation example shows that the line selection method can obtain higher accuracy and significantly reduce the line selection time compared with the logistic regression algorithm(LoR)and the back propagation neural network algorithm(BP),and that it has a better application prospect.
Keywords:
-
PACS:
TM773
DOI:
10.3969/j.issn.1672-1292.2020.03.005
Abstract:
wavelet analysis,K-nearest-neighbor(KNN)algorithm,fault line selection,small current grounding system

References:

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Last Update: 2020-09-15