Transmission line fault identification and classification with integrated FACTS device using multiresolution analysis and naïve bayes classifier

This paper is present a novel approach for solving the pending under-reach problem encountered by distance relay protection scheme in the 3rd zones protection coverage for a midpoint STATCOM compensated transmission lines. The propose transmission line model is develop in Matlab for analyzed feature...

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Bibliographic Details
Published inInternational Journal of Power Electronics and Drive Systems Vol. 11; no. 2; p. 907
Main Authors Aker, Elhadi Emhemed, Othman, Mohammad Lutfi, Aris, Ishak, Wahab, Noor Izzri Abdul, Hizam, Hashim, Emmanuel, Osaj
Format Journal Article
LanguageEnglish
Published Yogyakarta IAES Institute of Advanced Engineering and Science 01.06.2020
Subjects
Algorithms
Classifiers
Fault detection
Fault location
Feature extraction
Machine learning
Multiresolution analysis
Transmission lines
Wavelet analysis
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Summary:This paper is present a novel approach for solving the pending under-reach problem encountered by distance relay protection scheme in the 3rd zones protection coverage for a midpoint STATCOM compensated transmission lines. The propose transmission line model is develop in Matlab for analyzed feature extraction using Discrete Wavelet multiresolution analysis approach. Extracted feature from standard deviation and entropy energy contents of SLG transient faults current at location beyond the integrated STATCOM used for machine learning algorithm model building using WEKA software. The Naïve Bayes classifier model perform best with robustness prediction and detection of faults with quick convergence even with less training data. The outperformance of the proposed classifier has been 100 % for the relay algorithm modification for under-reach problem elimination in 3rd zones protection coverage.
ISSN:2088-8694
2722-256X
2088-8694
DOI:10.11591/ijpeds.v11.i2.pp907-913