Artificial Neural Network for Detection and Location of Faults in Mixed Underground Cable and Overhead Transmission Line

Conference: Sixth International Conference on Computational Intelligence and Information Technology
Author(s): Ankita Nag, Anamika Yadav Year: 2016
Grenze ID: 02.CIIT.2016.6.17 Page: 6-15

Abstract

Power grid in India is laid almost with the overhead lines (OH). With the capacity of XLPE cables to transmit high voltages has led power system engineers to take keen interest in mixing OH lines with underground (UG) cables where the environmental effects, increasing population or the areas where right of way is a constraint for connecting the grid line. Faults in mixed system require broader aspects of consideration and analysis as the UG cable and OH lines both exhibits different characteristics. Conventional tracer and terminal methods are time consuming therefore computer based methods are emerging as a solution to remove their drawbacks and to provide more accurate results for fault detection, classification and location faster. This paper deals with use of ANN for protection of mixed line taking into account the parameters at each point for cables and sequence components for OH line. In MATLAB/SIMULINK software simulation is carried out for verification of results.

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CIIT - 2016