Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1998.07c
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- Pages.1114-1117
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- 1998
Development of Fault Detection and Classification Method in Distribution Lines
신경회로망을 이용한 배전선 사고 검출 기법의 개발
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Kim, K.H.
(Kangwon National Univ.) ;
- Choi, J.H. (Kangwon National Univ.) ;
- Chang, S.I. (Kangwon National Univ.) ;
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Kang, Y.C.
(Electrical Engineering & Science Institute) ;
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Park, J.K.
(Seoul National Univ)
- Published : 1998.07.20
Abstract
Recent applications of neural networks to power system fault diagnosis have provided positive results and have shown advantages in process speed over conventional approaches. This paper describes the application of neural network to fault detection and classification in distribution lines using the fundamental component, 2-5th harmonics index, even and odd harmonics index, and zero phase current. The Electromagnetic Transients Program (EMTP) is used to obtain fault patterns for the training and testing of neural networks. The proposed fault detection and classification method in distribution lines is obtained by analysing the difference among normal, HIF, ground fault, short circuit fault condition.
Keywords