Power System Failure Analysis by Using The Discrete Wavelet Transform

摘要

Voltage variations are the most common power quality events that may result in corruption of different industrial processes. The electric power utility industry requires significant improvement in the quality of power provided to customers during faults or wide area system disturbance. Power system failure signals are monitored by using embedded systems. The wavelet transform is a transform similar to Fourier transform. It uses functions like the Fourier transform that are localized in both time and frequency. In addition, the wavelet transform requires less computation than the fast Fourier transform. This paper shows wavelet transform can be used to reduce data set while covering original information. Because of the reduced data set embedded systems can work wide time range. Paper helps power system analysis and classifies power system failures.