A comparative study on effective signal processing tools for power quality monitoring

Due to the growing number of sources of disturbances in AC power systems; there is an ever increasing need for power quality monitoring systems. However, for an accurate analysis, a large amount of data is required in such systems, and there is a need for improvements to analyse the captured data automatically. Therefore, the signals obtained from such monitoring systems require further processing to be able to distinguish the type of disturbances. This paper investigates the efficiency of various signal-processing techniques in detecting and extracting the features of power quality signals. The paper utilizes real time signals in a power system and offers a new technique to monitor all three-phase signals simultaneously, which eliminates the limitations of the existing single-phase based analysis techniques