This research characterizes the automatic supervision of short-duration events concerning electrical power quality (PQ). The methodology and results are based on an actual distribution electric system that was simulated and analyzed using ATP (Alternative Transients Program) software. Two techniques were studied and compared to detect and classify the short-duration events. Concerning the situation studied, the results obtained have shown that the Wavelet transform (WT) is more efficient than calculation of RMS value. The evidences observed open space to applications of new techniques of analysis of the signal as WT in PQ.
Power Quality; Short-Duration Voltage Variation; Wavelet Transform; RMS value
