Wavelet based real-time power quality monitoring

Security of a power system is considered as the ability of the system to withstand disturbances without causing a breakdown. Any disturbance results in some power quality (PQ) issues. Poor power quality may have economic and operational impacts on both electric utilities and consumers. It is aimed that electric utilities must be able to supply high quality of power to consumers. Therefore, early detection of power quality problems is needed to allow a reasonable time for protection and controlling devices to interfere and take appropriate actions. In this work, power quality monitoring is proposed through wavelet energy distribution of a signal, mapped in time and frequency domain using discrete wavelet transform. The PQ issues such as voltage sag, voltage swell and momentary interruptions have been processed in a time window. The proposed detection algorithm provides meaningful detection of disturbance. Real time simulation is performed for power quality parameters analysis using real time simulator OPAL-RT.