대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2003년도 하계학술대회 논문집 A
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- Pages.332-334
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- 2003
신경회로망을 이용한 송전선로 보호용 방향 개전 및 고장상 선택 알고리즘
A Fault Classification and Direction Estimation Algorithm by Neural Network
- Choi, Chang-Youl (Hanyang Univ.) ;
- Lee, Myoung-Soo (Hanyang Univ.) ;
- Lee, Jae-Gyu (Dae Duk Col.) ;
- You, Seok-Ku (Hanyang Univ.)
- 발행 : 2003.07.21
초록
The direction and the type of a fault on a transmission line needs to be identified rapidly and correctly. This paper presents a approach to identify fault direction and type with neural network on double circuit transmission line. A neural network based on self organization map(SOM) provides the ability to accurately classify the fault type and to select of a fault direction. In this paper, proposed algorithm uses different patterns of the associated voltages and currents in order to identify fault clusters.
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