이산 Daubechies 웨이브릿 변환을 이용한 송전선로의 고장검출

• Published in: 전기학회 논문지 P권, 66(1) Vol. 66P; no. 1; pp. 27 - 32
• Main Authors: 이경민(Kyung-Min Lee), 박철원(Chul-Won Park)
• Format: Journal Article
• Language: Korean
• Published: 대한전기학회 2017
• Subjects: 전기공학; Daubechies wavelet; Transmission line; Fault detection; Fault identification; ATPDraw; DC offset
• ISSN: 1229-800X; 2586-7792

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.