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Detection, Localization, And Classification Of Power Quality Disturbances Using Discrete Wavelet Transform Technique, Tarek Ibrahim Elshennawy Dr., Amr Yehia Abou-Ghazala A. Prof., Mahmoud El-Gammal Prof.

Tarek Ibrahim ElShennawy

Modern spectral and harmonic analysis is based on Fourier based transforms. However, these techniques are less efficient in tracking the signal dynamics for transient disturbances. Consequently, The wavelet transform has been introduced as an adaptable technique for non-stationary signal analysis. Although the application of wavelets in the area of power engineering is still relatively new, it is evolving very rapidly. The application of the wavelet transform in detection, time localization, and classification of power quality disturbances is investigated and a new identification procedure is presented. Different power quality disturbances will be classified by a unique energy distribution pattern based on …