ANFIS를 이용한 송전선로의 고장판별 기법에 관한 연구

A Study on the Technique of Fault Classification in Transmission Lines Using a Combined Adaptive Network-Based Fuzzy Inference System

  • 여상민 (성균관대 전기전자 및 컴퓨터공학부) ;
  • 김철환 (성균관대 전기전자 및 컴퓨터공학부)
  • 발행 : 2001.09.01

초록

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.

키워드

참고문헌

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