Open AccessEstimation of various PQ indices at point of common coupling using empirical wavelet transform
Author(s) -
Kamble Saurabh,
Thote Pankaj,
Rathore Chandrakant,
Marothiya Anirudha
Publication year - 2019
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2018.5635
Subject(s) - discrete wavelet transform , wavelet transform , wavelet packet decomposition , harmonic wavelet transform , second generation wavelet transform , wavelet , s transform , stationary wavelet transform , electronic engineering , frequency domain , computer science , mathematics , algorithm , pattern recognition (psychology) , engineering , artificial intelligence , computer vision
This article proposes a relatively new methodology named empirical wavelet transform (EWT) to analyse various power quality (PQ) indices of current and voltage at the point of common coupling (PCC) in a power system. EWT provides information in frequency as well as time domain; however, Fourier transform gives information in frequency domain only. This makes EWT more powerful technique compared with conventional techniques. PQ indices such as RMS value of voltage and current, active power and harmonic pollution are analysed with different loading conditions. The proposed approach is simulated on MATLAB environment which is analysed using real‐time signal. The results obtained are compared with discrete wavelet transform (DWT), wavelet packet transform (WPT), and the actual value. It is noted that the EWT produces a better result than DWT and WPT in terms of percentage error.