Analysis of Sensor Trapped Power Quality Indices Using Empirical Wavelet Transform and Rational Dilation Wavelet Transform to Achieve High Accuracy and Frequency Resolution

摘要

Focus on power quality problems has been on the rise in recent times as a result of the increasing use of non-linear loads. Achievement of high efficiency and eminent frequency resolution requires monitoring and analysis of power quality. Hence in this paper a new approach has been made to inquire and process power quality indices. Many power quality parameters are drawing attention in getting a good quality of signal. In this work the key parameters focused are voltage sag, voltage swell and harmonics. Two impressive methods such as Empirical Wavelet Transform (EWT) and Rational Dilation Wavelet Transform (RADWT) are proposed for detailed analysis. Experimental setup comprises of a non linear load (battery charger) supplied by a single phase AC supply. The distortions in the signal were convinced physically by abruptly switching ON and OFF the battery charger on the supply side. As a sequence, the distorted signal was conquered in SIGVIEW software using Fast Fourier Transform (FFT) analysis and it was programmed using EWT and RADWT as a MATLAB code. The result evidenced the resistant to noise for the proposed transform and enumeration with a high degree of accuracy particularly for the closed frequencies. Correspondingly the RAWDT results showed high frequency resolution with high precision accompanied by high Q factor, which helped meticulous analysis of the Power Quality Indices (PQIs).