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JELENC, B.
DETECTING DEFECTIVE FEEDER DURING HIGH IMPEDANCE PHASE TO EARTH FAULT IN ELECTRICAL DISTRIBUTION SYSTEM –SUBSTATION USING ARTIFICIAL INTELIGENCE
KOMUNALNA ENERGETIKA / POWER ENGINERING, 17
Recent developments indicate that Artificial Neural Networks (ANNs) may be appropriate for assisting dispatchers in operating electric power systems. This paper presents approach to detection defective feeder during phase to earth fault (also high impedance faults) in electrical distribution system –substation using feed- forward artificial neural network (ANN). In the ANN algorithm, the standard back-propagation technique with a sigmoid activation function is used. The proposed neural network was trained by real data recorded with Disturbance recorder during actual fault. Performance study results show that the proposed algorithm performs very well in detecting the phase to earth fault and locating faulty feeder.

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