Fault Detection and Classification in Transmission Line Using Fuzzy Inference System

Abstract

Transmission lines are an imperative element of the modern power systems. Any faults in them can cause an undesirable interruption in power supply. Precise analysis of these faults is important in-order to ensure an incessant supply of power. For this purpose, fault detection and classification is needed to clear any such faults and re-establish the system to maintain its normal operation. This paper presents fuzzy logic system for this purpose. The proposed scheme is successfully able to detect and classify different symmetrical and unsymmetrical faults along with some peculiar cases related to High Impedance Faults (HIF) and evolving faults. The results obtained prove that this scheme performs better than several other existing techniques and also has a very small fault detection time. Western System Coordinating Council (WSCC) nine bus system has been opted for conducting the studies. All the simulations are performed using simulink and fuzzy logic toolboxes of MATLAB.