Artificial Neural Networks for Intelligent Real Time Power Quality Monitoring System

Most of the modern industrial power quality monitoring systems are used for the pre-fault alarming and load flow analysis. In this paper, we present an Artificial Neural Network (ANN) model for intelligent utilization of power and for monitoring the power quality. The proposed ANN system will assist the conventional monitoring systems with added intelligence. For on-line monitoring, voltage and current are fed into the network after preprocessing and standardization. ANN is trained with the 24-hour load demand pattern as well as the different sorts of harmonics and waveform abnormalities. The performance of the proposed method is evaluated by comparing the test results with the actual expected values.