A new method for the characterization and type detection of voltage sag using active voltage component

Abstract

ABSTRACT In this paper, a new power quality (PQ) index, namely active voltage component (AVC), has been developed using the help of symmetrical component analysis (SCA). Furthermore, the developed PQ index, i.e., AVC, has been used for the identification of the faulted phase and characterization of the voltage sags. The effectiveness and accuracy of the developed technique have been revealed by considering the voltage sag signals from IEEE database. Through the outcomes, as attained with the AVC, it is revealed that the sag duration and type are exactly same as the real recorded test signals. Also, it is shown that the developed index, i.e. AVC, is sufficient for the simultaneous characterization, classification, and detection of the voltage sag. The error in sag duration with the proposed index is found to be zero while the other existing methods either under-or over-estimate the sag duration. Finally, the shortfalls of the existing methods, based on SCA and space vector (SV), have also been discussed. Through the comparative studies, it is shown that the existing methods, based on SCA and SV, provide the erroneous characterization due to oscillation and noise present in the voltage sag signals while the proposed index provides accurate characterization, classification, and detection.