A Decision-Tree-Based Method for Fault Classification in Single-Circuit Transmission Lines

In this paper, a novel method for fault classification in single-circuit transmission lines is presented. The proposed method needs voltages and currents of only one side of the protected line. After detecting the exact time of fault inception, the fault type is recognized by means of a decision-tree algorithm (DT) which is formerly trained by applying the odd harmonics of the measured signals, up to the 19th. Simulation results have shown that the proposed method can classify the faults in less than a quarter of a cycle with highest possible accuracy.