Identification of magnetizing inrush current in power transformers using GSA trained ANN for educational purposes

Inrush current in transformers is generated when transformer cores are driven into saturation during no-load energization. This current consists of high amplitude, large DC component and also, has much 2
^nd
harmonic content. In the proposed paper, a new computer-aided simulation technique for teaching inrush current principles and its discrimination from normal current based on artificial intelligence has been introduced. This method can be used for educating concepts of inrush current and its identification techniques during undergraduate curriculum as an excellent approach. Evaluation of the proposed approach with undergraduate senior students is very useful in terms of their understanding of the inrush current concepts.