Detection of Power Quality Disturbances Based on Generalized Morphological Filter and Information Theory

Detection of power quality (PQ) events is a significant task for the power system monitoring. This paper presents a new method for the detection of PQ disturbances using mathematical morphologic and information theory, which employs the generalized morphologic filter as pre-processing unit and difference entropy as a feature extracting unit. A simulation on six ideal signals, such as ideal sine wave, interruption, voltage sag, voltage swell, impulse and oscillation transient, is done and its results show that the proposed method has good adaptability on signals excepting disturbance occurs on cross-zero instant.