LabVIEW Implementation for Power Disturbances Classification

Abstract

The rapid growth of electric power industry nowadays has change the conventional framework where the power quality issues are being concern. Power quality issue known as power quality disturbances can substantially affect high sensitive utilization equipment such the malfunction of sensitive electronic medical equipment and adjustable speed motor drives trip off-line. In this study, wavelet technology with different mother wavelet, decomposition tree and different sampling rate is performed on the input signal in real-time. The instrument also permits the partial implementation of a wavelet decomposition tree. The real signals from Chroma programming are used in LabVIEW® algorithm by Data Acquisition (DAQ) card to acquire and digitize the input line signal to obtain the results. The results obtained in simulation using real signals demonstrate good performance of the instrument developed for the detection and analysis of different power quality disturbances with proper time information of the signal. The classification performance of power disturbances then has been analysed using Support Vector Machine (SVM).