Fault classification using Artificial Neural Network in combined underground cable and overhead line

Indian Power System is equipped mainly with the overhead (OH) line. The inclination towards the use of underground cable (UG) is less. Nowadays with the advent of the XLPE cable with high capacity to transmit power is taking up the interest of the power system engineers to use underground cable along with the overhead line. It is also a solution in the areas where population is more; environmental constraint is present and right of way is a problem. Protection issues are taken into consideration as the fault to be cleared should take up the minimum time and conventional method to detect and classify fault take more time and is a manual approach in case fault occurred in UG cable so digital relay employing Artificial Neural Network is used to classify fault fast and with greater accuracy. The work in this paper is checked for all types of fault taking into account the fundamental components of voltage and current collected from the sending end; the effect of zero sequence currents; the cable parameters and sequence components for OH line using the MATLAB 2013Ra / SIMULINK.