Wavelet and neuro-fuzzy based fault location for combined transmission systems

This paper describes the fault location algorithm using neuro-fuzzy systems in combined transmission lines with underground power cables. The neuro-fuzzy system consists of two parts to perform different tasks. One is to discriminate the fault section between overhead and underground using the detailed coefficients obtained by wavelet transform. The other system calculates fault location. The algorithm for fault location again is divided into two parts: one to calculate the fault location on the overhead lines, the other one for the underground cable section. This system shows excellent results for discrimination of fault section and calculation of fault location.