신경회로망을 이용한 배전선로 고저항 사고 검출 기법의 개발

Development of a hight Impedance Fault Detection Method in Distribution Lines using Neural network

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  • 黃義天 ;
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  • 발행 : 1999.06.01

초록

This paper proposed a high impedance fault detection method using a neural network on distribution lines. The v-I characteristic curve was obtained by high impedance fault data tested in various soil conditions. High impedance fault was simulated using EMTP. The pattern of High Impedance Fault on high density pebbles was taken as the learning model, and the neural network was valuated on various soil conditions. The average values after analyzing fault current by FFT of evenr·odd harmonics and fundamental rms were used for the neural network input. Test results were verified the validity of the proposed method.

키워드

참고문헌

  1. 대한전기학회 춘계학술대회 EMTP를 이용한 배전 계통의 고저항 사고 모델링 강용철(외)
  2. Bilding Neural Networks David M;Skapura
  3. 배전 선로 보호를 위한 고저항 사고 검출 룰의 개발 최성규(외)
  4. IEEE Transactions on Power Delivery v.9 no.4 An adaptive High and Low Impedance Fault Detection Method David C. Yu;Shoukat H. Khan
  5. IEEE Transactions on Power Delivery v.9 no.1 Detecting Arcing Downed Wires Using Fault Current Flicker and Half Cycle Asymetry A.F.Sultan;G.W.Swift;D.J.Fedirchuk
  6. 전력 계통에서의 고저항 고장 검출 기법 연구 한전 전력 연구원
  7. 대한전기학회 춘계학술대회 전력 계통에서의 고저항 고장 검출 기법 연구 유창완(외)
  8. IEEE Transactions on Power Delivery v.4 no.1 A Digital Signal Processing Algorithm for Detection Arcing Faults on Power Distribution Feeders B.D. Russell;Ram P. Chinchali