A Study on High Fault Detection In Power System

전력계통의 고임피던스 고장 검출 기법에 관한 연구

  • 임화영 (광운대 공대 제어계측공학과) ;
  • 유창완 (광운대 대학원 제어계측공학과) ;
  • 고재호 (광운대 대학원 제어계측공학과)
  • Published : 1999.01.01

Abstract

The analysis of distribution line faults is essential to the proper protections of the power system. A high impedance fault test, which was carried in Korean electric power systems, it was found that a arcing phenomenon occurred during the high level portion of conductor voltage in each cycle. In this paper, we propose a new method for detection of high impedance faults, which uses the arcing fault current difference during high voltage and low voltage portion of conductor voltage waveform. To extract this difference, we diveded one cycle fault current into equal spanned four data windows according to the magnitude of voltage waveform and applied fast fourier transform(FFT) to each data window. The frequency spectrum of current wavefrom in each portion are used as the inputs of neural network and is trained to detect high impedance faults. The proposed method shows improved accuracy when applied to staged fault data and fault-like load.

Keywords

References

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