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신경회로망을 이용한 LIF 및 HIF 검출에 관한 연구
최해술,박성원,채종병,김철환 성균관대학교 1997 학술회의지원논문목록집 Vol.1997 No.-
A high impedance fault(HIF) in a power system could be due to a downed and is a dangerous situation becausc the current may be too small to be detected by conventional means. In this paper HIF(High impedance fault) and LIF)Low impedance fault) detection methods were reviewed. No single detection method can detect all electrical conditions resulting from downed conductor faults because high impedance fault have arc phenomena asymmetry and randomness. Neural network are well-suited for solving difficult signal processing and pattern recognition problem. This paper present the application of artificial neural network (ANN) to detect the HIF anf LIF. Test results show thar the neural network was able to identify the high impedance fault by real-time operation. Furthermore, neural network was able to discriminate the HIF from the LIF.