A New Harmonic Detection Method for Shunt Active Filter Based on windowing and Wavelet Tra

This paper deals with two popular and powerful methods in noise and harmonic detection field of digital signal processing. The first one is the Windowing technique and the other one is wavelet transform. The proposed method uses these methods in the traditional synchronous fundamental dqframe algorithm. In other words, a windowing-wavelet based method is formed as a low pass filter. The Hamming window is adopted as windowing aspect to reduce its effete in frequency domain. The used mother wavelet is selected in terms of their effectiveness on transient response, low overshot and oscillation at frequency domain. Due to these concepts, the db8 is selected as mother wavelet. This method is superior to traditional FFT based and wavelet based filters because of fast transient response and small negligible sidelobes. The presented method has been verified with MATLABSIMULINK model and wavelet toolbox. Simulation results confirm the ability of this technique in power system harmonic detection.