ANN-based protection scheme for power transformer

The implementation of a pattern recognizer for pourer system diagnosis can provide great advancement in the protection field. The work reported in this paper demonstrates the use of an Artificial Neural Network (ANN) as a pattern classifier for differential relay operation in the protection scheme for power transformer protection. The proposed relay takes care of maloperation due to inrush current, overexcitation, and ensures operation during internal fault. The off-line experimental result presented in this paper shows that a Feed-Forward Neural Network (FFNN) can be considered as an attractive alternative method to make the discrimination among normal, magnetizing-inrush, overexcitation, and internal fault currents in a digital relay implementation. Results showing the performance of the protection scheme indicate that it is fast and reliable.