Classification of faults in double circuit lines using Wavelet transforms

A new approach using digital relays for double circuit transmission line protection is presented in this paper. The proposed technique consists of a preprocessing module based on time-frequency transforms in combination with an artificial neural network (ANN) for detecting and classifying fault events. The pre-processing module extracts distinctive features in the input signals at the relay location, and simplifies the information contained in the input vector of the ANN, improving it in speed and accuracy. The wavelet transform Daubechies 6 have been used as pre-processor.