International Journal of Advancements in Electronics and Electrical Engineering
Author(s) : A.S. THOKE, ANAMIKA YADAV, EBHA KOLEY, TEJASH KHODIYAR
Power transmission lines are the vital links providing the essential continuity of service from generating station to the end users. As the demand of electricity is increasing day by day, the multiphase power system is a viable alternative. Six phase transmission lines are quite promising for improvement in power carrying capacity of existing systems keeping the same right-of-way. The implementation of 6-phase transmission line goes critical as its protection against various faults is quite intricate task. In this paper we are proposing an ANN based protection scheme against phase to phase faults. MATLAB® software and its associated Simulink® and Simpowersystem® toolboxes have been used to simulate the six phase transmission line. Fundamental components of six phase voltages and currents have been used as inputs for training of the Artificial Neural Network for detection and classification of faulted phase using neural network toolbox of MATLAB®. A sample 138 kV system of 68 km length, the model of Allegheny Power System, has been selected for study. The effect of variation in fault inception angle, fault distance location and fault resistance has been taken into account.