A simple rule-based approach for detection and classification of voltage sag, swell, and interruption in power systems

For the development of smart grid, the effective detection of power quality events is a very important task for the power system monitoring. Voltage sags, interruptions, and voltage swells which usually produce large losses in commercial and industrial consumers are the main events in power systems due to the sensitivity of equipments to these voltage variations. In this paper, a simple rule-based detection method for voltage events by applying the filter bank and adaptive filter is presented. The usefulness of the proposed algorithm is demonstrated by a simple laboratory setup with LabVIEW program and actual recorded waveforms. With the help of accurate detection time of the filter bank and correct event classification of adaptive filter, power system monitoring could provide accurate and useful information to power grids via the developing advanced metering infrastructure.