Detection and classification of power disturbances using half multi-resolution morphology gradient

Abstract

This paper presents a new method for the detection and classification of power disturbances in power distribution systems using Half Multi-resolution Morphology Gradients (H-MMG). This method is based on multi-resolution morphology gradients (MMG), but the process only uses half the MMG strategy. In addition, this strategy will operate in level 1 only, so this will reduce the processing and increase the speed of detection. The location of disturbances can be detected as the difference between the input signal and the ascending and descending edges of the waveform. This strategy has been simulated using Matlab for sag, swell, voltage interruption, flicker, notch and transients. The results show accurate detection when disturbances occurred in the system.