Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fault Type Classification and Fault Distance Estimation for High Speed Relaying Using Neural Networks in Power Transmission Systems

신경회로망을 이용한 송전계통의 고속계전기용 고장유형분류 및 고장거리 추정방법

  • Lee, H.S. (Dept. of Electrical Engineering, Pusan National University) ;
  • Yoon, J.Y. (Dept. of Electrical Engineering, Pusan National University) ;
  • Park, J.H. (Dept. of Electrical Engineering, Pusan National University) ;
  • Jang, B.T. (KEPRI)
  • Published : 1996.07.22
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Abstract

In this paper, neural network, which has learning capability, is used for fault type classification and fault section estimation for high speed relaying. The potential of the neural network approach is demonstrated by simulation using ATP. The instantaneous values of voltages and currents are used the inputs of neural networks. This approach determines the fault section directly. In this paper, back-propagation network(BPN) is used for fault type classification and fault section estimation and can use for high speed relaying because it determines fault section within a few msec.

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