a transmission line fault location model which is based on an Elman recurrent network

(ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with

different inception times are implemented on a 380-kV prototype power system. Wavelet transform

(WT) is used for selecting distinctive features about the faulty signals. The system has the advantages of

utilizing single-end measurements, using both voltage and current signals. ERN is able to determine the

fault location occurred on transmission line rapidly and correctly as an important alternative to standard

feedforward back propagation networks (FFNs) and radial basis functions (RBFs) neural networks.