Measurement and evaluation of instantaneous reactive power using neural networks

The erratic disturbance caused by an electric arc furnace requires a fast and accurate VAr evaluation algorithm for compensation. This paper describes the development of a novel method using the approach of artificial neural networks (ANN) to evaluate the instantaneous VAr. Compared to the conventional methods, this neural network based algorithm is capable of operating at a much lower sampling rate and delivering an accurate and fast response output. By hardware implementation of this algorithm using neuron chips, the erratic VAr fluctuation can be accurately estimated for compensation