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A Study on Fault Detection for Transmission Line using Discrete Daubechies Wavelet Transform

이산 Daubechies 웨이브릿 변환을 이용한 송전선로의 고장검출

  • Lee, Kyung-Min (Dept. of Electrical Engineering, Gangneung-Wonju National University) ;
  • Park, Chul-Won (Dept. of Electrical Engineering, Gangneung-Wonju National University)
  • Received : 2017.02.06
  • Accepted : 2017.02.21
  • Published : 2017.03.01

Abstract

This paper presents a Daubechies wavelet-based fault detection method for fault identification in transmission lines. After the Daubechies wavelet coefficients are calculated, the proposed algorithm has been implemented difference equation using C language. We have modeled a 154kV transmission line using the ATPDraw software and have acquired test data. In order to evaluate effects of DC offset, simulations carried out while varying an inception angle of the voltage $0^{\circ}$, $45^{\circ}$, $90^{\circ}$. For performance evaluation, fault distance was varied. As we can see from the off-line simulation, the proposed algorithm shows rapid and accurate fault detection. Also we can see the proposed algorithm is not affected by the fault inception angle change.

Keywords

References

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