The Transactions of the Korean Institute of Electrical Engineers A (대한전기학회논문지:전력기술부문A)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

A Study on High Impedance Fault Detection using Wavelet Transform and Neural -Network

웨이브렛 변환과 신경망 학습을 이용한 고저항 지락사고 검출에 관한 연구

  • Published : 2001.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

The research presented in this paper focuses on a method for the detection of High Impedance Fault(HIF). The method will use the wavelet transform and neural network system. HIF on the multi-grounded three-phase four-wires primary distribution power system cannot be detected effectively by existing over current sensing devices. These paper describes the application of discrete wavelet transform to the various HIF data. These data were measured in actual 22-9kV distribution system. Wavelet transform analysis gives the frequency and time-scale information. The neural network system as a fault detector was trained to discriminate HIF from the normal status by a gradient descent method. The proposed method performed very well by proving the right state when it was applied staged fault data and normal load mimics HIF, such as arc-welder.

Keywords

References

  1. B. Mike Aucoin and B. Don Russell, 'Distribution High Impedance Fault Detection Utilizing High Frequency Current Component,' IEEE Transactions on Power Apparatus and Systems, Vol. 101, No. 6, pp. 1596-1606, Jun. 1982 https://doi.org/10.1109/TPAS.1982.317209
  2. 'High Impedance Fault Detection Using Third Harmonic Current', Electric Power Research Institute Report EL-2430, Prepared by Hughes Aircraft Co., Jun. 1982
  3. B. Mike Aucoin and B. Don Russell, 'Detection of Distribution High Impedance Faults Using Burst Noise Signals Near 60Hz', IEEE Transactions on Power Delivery, Vol. PWRD-2, No.2, pp.342-348, Apr. 1987
  4. Russel, B. D., Chinchali, R. P. 'A digital signal processing algorithm for detecting arcing faults on power distribution feeders', IEEE Trans. on Power Delivery, Vol.4, No.1, Jan, 1989 https://doi.org/10.1109/61.19199
  5. Kwon, W. H., Lee, G. W., Park, Y. M. 'A Study for the improvement of the protection relay scheme on multi grounded distribution system', KEPCO Project Final Report, KRC-85A-JO5, 1987
  6. I. Daubechies, 'Ten Lectures on Wavelet', SIAM, Philadelphia, Pennsylvania, 1992
  7. 도경훈, 현기호, 변영복, 조기윤, 하영호, '역전파 신경회로망을 이용한 고임피던스 고장 검출', 대한전기학회 논문지, 제43권, 11호, 1994. 11
  8. 남순일, 강용철, 김성수, 손진만, 박종근, 장성일, 김광호, 김일동, 'Wavelet 변환을 이용한 배전 계통의 고저항 사고 검출 알고리즘 ', 대한전기학회 하계 학술대회 논문집(C) pp.975-978 1997. 7
  9. 신정훈, 김태원, 박성택, '웨이브렛 변환을 이용한 전력계통의 고장검출', 대한전기학회 전력계통연구회 춘계학술발표논문집 pp.61-63 1997. 5
  10. 임화영, 유창완, 고재호, '전력계통의 고임피던스 고장 검출 기법에 관한 연구', 대한 전기학회논문지, 제48A권, 1호, pp.15-21 1999. 1
  11. 윤만철, 권욱현, '다중접지 배전선로 보호계전 방식 개선에 관한 연구', 한국전력공사 기술 연구원 최종보고서, KRC-85A-505, 1987. 9
  12. 최인혁, 추진부, 백영기, 이종범, '직접 접지계통 송전선로 고저항 지락 보호대책 연구' 한국전력공사 전력 연구원 최종보고서, TR.95YJ25.97.57-1, 1997. 7