Abstract
This paper presents an intelligent scheme for high impedance fault detection using mathematical morphology and decision tree. The current signals are pre-processed using mathematical morphology and estimation of the signal features is used to generate a decision tree model. The final relaying operation based on generated data mining decision tree model. The proposed method is tested on a standard test system with a wide range of power system operating conditions. Simulation results show that the proposed method can be highly reliable in detecting high impedance fault for harmless and secured operations.
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