A Critical Review of Time-frequency Distribution Analysis for Detection and Classification of Harmonic Signal in Power Distribution System

M. H. Jopri (Universiti Teknikal Malaysia Melaka)
A. R. Abdullah (Universiti Teknikal Malaysia Melaka)
T. Sutikno (Universitas Ahmad Dahlan (UAD))
M. Manap (Universiti Teknikal Malaysia Melaka)
M. R. Ab Ghani (Universiti Teknikal Malaysia Melaka)
M. R. Yusoff (Universiti Teknikal Malaysia Melaka)

International Journal of Electrical and Computer Engineering
Vol 8, No 6: December 2018

This paper presents a critical review of time-frequency distributions (TFDs) analysis for detection and classification of harmonic signal. 100 unique harmonic signals comprise of numerous characteristic are detected and classified by using spectrogram, Gabor transform and S-transform. The rulebased classifier and the threshold settings of the analysis are according to the IEEE Standard 1159 2009. The best TFD for harmonic signals detection and classification is selected through performance analysis with regards to the accuracy, computational complexity and memory size that been used during the analysis.