A Comparative Analysis for Selection of Appropriate Mother Wavelet for Detection of Stationary Disturbances

作者: Saurabh Prakash Kamble , Shashank Thawkar , Vinayak G. Gaikwad , D. P. Kothari

DOI: 10.1007/S40031-017-0290-8

关键词:

摘要: Detection of disturbances is the first step mitigation. Power electronics plays a crucial role in modern power system which makes operation efficient but it also bring stationary and added impurities to supply. It happens because non-linear loads used day inject like harmonic disturbances, flickers, sag etc. grid. These can damage equipments so necessary mitigate these present supply very quickly. So, digital signal processing techniques are incorporated for detection purpose. Signal fast Fourier transform, short-time Wavelet transform widely disturbances. Among all, wavelet its better capabilities. But, mother has use still mystery. Depending upon periodicity, classified as non-stationary This paper presents importance selection analyzing using discrete transform. Signals with various frequencies generated MATLAB. The analysis signals done wavelets Daubechies bi-orthogonal measured root mean square value disturbance obtained. obtained by compared exact RMS frequency component percentage differences presented helps select optimum wavelet.

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