ICA-based method for power quality disturbance detection

This paper presents a method based on Independent Component Analysis (ICA) for power quality disturbance detection. The proposed method focuses on the detection of sag, swell, sinusoidal voltage fluctuation, fundamental frequency variations and harmonics in electric power signals. Suitable results were achieved from simulated signals in which the beginning and ending time of these disturbances were accurately detected. The results showed the proposed method can be used for disturbance segmentation as part of a power quality monitoring system.