A Study on the Discriminate between Magnetizing Inrush and Internal Faults of Power Transformer by Artificial Neural Network

신경회로망에 의한 변압기의 여자돌입과 내부고장 판별에 관한 연구

This paper presents discriminate between magnetizing inrush and internal faults of power transformer by artificial neural networks trained with preprocessing of fault discriminant. The proposed neural networks contain multi-layer perceptron using back-propagation learning algorithm with logistic sigmoid activation function. For this training and test, we used the relaying signals obtained from the EMTP simulation of model power system. It is shown that the proposed transformer protection system by neural networks never misoperated.