HIGH-IMPEDANCE FAULT-DETECTION SYSTEM USING AN ADAPTIVE ELEMENT MODEL

An adaptive-element model approach for high impedance fault detection is presented. The system employs multiple detection algorithms using d ifferent frequency parameters. To obtain a final fault/nonfault classi fication for a power distribution feeder, a revised adaptive-element m odel is applied using expert weights associated with each algorithm-pa rameter pair. The adjustment of the weight, assigned by experts, is pe rformed by an elliptic formula. This revised adaptive-element model is different from the original adaptive-element scheme in two components : the combination method for multiple inputs and the learning algorith m for weight correction. This system when tested using examples shows good performance, especially in terms of security against false identi fication.