A new morphology method for enhancing power quality monitoring system
By means of mathematical morphology (MM), power quality monitoring systems can detect disturbances very soon. However, the signal under investigation is often corrupted by noises, and the performance of the MM would be greatly degraded. This paper proposed a new fast approach to detection of transient disturbances in a noisy environment. In the proposed approach, the appropriate morphologic structure element, new proper combination of the erosion and the dilation morphologic operators can enhance the MMs capability. Furthermore, the soft-threshold de-noising method based on the wavelet transform (WT) was used for reference. In this way, the abilities of the MM can hence be restored. This method possesses the following advantages: high calculation speed, easy implementation of hardware and better use value. Finally, the validity of the proposed method is verified by the results of the simulation and the actual field tests.
power quality mathematical morphology wavelet transform signal processing