Fractal entropy analysis of overlapped transient power quality disturbance
Yigang He · Journal of Computer Applications · 2009
Transient power quality may cause severe loss to sensitive customers; therefore, it is very important to recognize overlapped transient power quality under general terms. Starting from graphical recognition and based on fractal theory, waveform was segmented and the entropy of waveform containing disturbance was calculated, then the most prominent disturbance was identified. By subtracting identified disturbance, other disturbances can be identified in remaining waveforms through iterated cycle of analysis. Simulation results reveal that this algorithm is very robust and adaptable, which can identify overlapped transient power quality disturbance with minor magnitude under noisy environment, and the recognition rate is very inspiring.