Disturbance detection using hit-or-miss wavelet singular entropy for power quality monitoring

This paper has proposed a novel power quality (PQ) analysis method using morphological entropy. The method comprises two stages. First, a voltage or current signal is decomposed by the morphological wavelet transform of hit-or-miss wavelet, which involves the improved hit-or-miss transform in the decomposition process. Afterwards, the hit-or-miss wavelet singular entropy (HMWSE), which is developed based on a general wavelet entropy framework, of the wavelet coefficients is calculated to embody the disturbance information. Simulation studies have shown the superiority of the proposed HMWSE over two popular PQ events detection algorithms, the Daubechies db4 wavelet and the S-transform, in terms of accuracy and efficiency.