The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fault Location Technique of 154 kV Substation using Neural Network

신경회로망을 이용한 154kV 변전소의 고장 위치 판별 기법

  • Ahn, Jong-Bok (Dept. of Biomedical Convergence Engineering, Gangneung-Wonju National University) ;
  • Kang, Tae-Won (Dept. of Computer Science & Engineering, Gangneung-Wonju National University) ;
  • Park, Chul-Won (Dept. of Electrical Engineering, Gangneung-Wonju National University)
  • Received : 2018.05.17
  • Accepted : 2018.07.31
  • Published : 2018.09.01
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Abstract

Recently, researches on the intelligence of electric power facilities have been trying to apply artificial intelligence techniques as computer platforms have improved. In particular, faults occurring in substation should be able to quickly identify possible faults and minimize power fault recovery time. This paper presents fault location technique for 154kV substation using neural network. We constructed a training matrix based on the operating conditions of the circuit breaker and IED to identify the fault location of each component of the target 154kV substation, such as line, bus, and transformer. After performing the training to identify the fault location by the neural network using Weka software, the performance of fault location discrimination of the designed neural network was confirmed.

Keywords

References

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