| Title |
A Study on the Technique of Fault Classification in Transmission Lines Using a Combined Adaptive Network-Based Fuzzy Inference System |
| Authors |
여상민(Yeo, Sang-Min) ; 김철환(Kim, Cheol-Hwan) |
| Keywords |
ANFIS ; Fault Classification ; HIF ; Neuro-Fuzzy Network ; Transmission Lines |
| Abstract |
This paper proposes a technique for fault detection and classification for both LIF(Low Impedance Fault)s and HIF(High Impedance Fault)s using Adaptive Network-based Fuzzy Inference System(ANFIS). The inputs into ANFIS are current signals only based on Root-Mean-Square(RMS) values of 3-phase currents and zero sequence current. The performance of the proposed technique is tested on a typical 154 kV Korean transmission line system under various fault conditions. Test results show that the ANFIS can detect and classily faults including (LIFs and HIFs) accurately within half a cycle. |