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

Abstract

<jats:p>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.</jats:p>

Performance enhancement of distance relay in presence of unified power flow controller

“…STATCOM and fault locations greatly impact impedance estimates. Over-and under-reach issues precipitated by the several modes of STATCOM operation were determined and resolved in [13], [14]. Guan et al, [15] performed advanced studies on STATCOM's RTDS-specific influence on feeder distance protection.…”