Mobile QR Code QR CODE : Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
Title Development of a High Impedance Fault Detection Method in Distribution Lines using the Neural Network
Authors 황의천 ; 김남호
Page pp.80-87
ISSN 1225-1135
Abstract This paper proposed a high impedance fault detection method using a neural network on distribution lines. The v-i characteristic curve was obtained by high impedance fault data tested in various soil conditions. High impedance fault was simulated using EMTP. The pattern of High Impedance Fault on high density pebbles was taken as the learning model, and the neural network was evaluated on various soil conditions. The average values after analyzing fault current by FFT of even·odd harmonics and fundamental rms were used for the neural network input. Test results were verified the validity of the proposed method.