시간지연 신경회로망을 이용한 고장지락사고 검출

Detection of High Impedance Fault based on Time Delay Neural Network

  • 최진원 (인하대학교 전기공학과) ;
  • 이종호 (인하대학교 전기공학과) ;
  • 김춘우 (인하대학교 전기공학과)
  • 발행 : 1994.11.18

초록

In order to provide reliable power service and to prevent a potentail hazard and damage, it is important to detect high impedance fault in power distribution line. This paper presents a neural network based approach for the detection of high impedance faults. A time delay neural network has been selected and trained for the fault currents obtained from field experiments. Detection experiments have been performed with the data from four different high impedance surfaces. Experimental results indicated the feasibility of using TDNN for the detection of high impedance faults.

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