Identification and classification of faults using fuzzy logic controller in transmission line

Abstract

This manuscript discusses the identification and categorization of faults in transmission network system with fuzzy logic controller (FLC) with high-speed digital protective relay, which can be used for real-time data analysis. The FLC uses signals for the extraction of original signals for multi-resolution analysis. The proposed FLC technique detects the fault occurrence based on fault index. The stoutness of technique is demonstrated on transmission line models under different fault situations on MATLAB Simulink platform for the post-fault current of all three phases the end of line. In the projected technique, different rules have been structured for phase and ground faults. Simulation has been carried out on various faults type to test the effectiveness of the method which is used for a power station of 400 kV voltages with a 300 km long line. The extensive simulation effort has been carried out to recognize and categorize the types of faults using projected methodology with higher efficiency. This method is appropriate for high-impedance faults carried out in high-voltage line. The result obtained from Simulation led to the conclusion that the presented work is quite robust for medium and long lines.