(과제코드확인)웨이블릿 변환과 STA/LTA 기법을 결합한 AC 철도 급전계통의 진행파 기반 고장점 표정

초록

This paper proposes a traveling wave-based fault location algorithm for AC railway autotransformer (AT) feeding systems. The proposed method combines the discrete wavelet transform (DWT) for multi-resolution analysis with the short-term average/long-term average (STA/LTA) triggering technique, which was originally developed in seismology. DWT decomposes fault-generated transient signals into time-frequency components, and STA/LTA detects wavefront arrival times with high precision. The algorithm was verified through electromagnetic transient simulations of a 2×25 kV AT feeding system modeled in Power System Computer Aided Design/Electromagnetic Transients including DC (PSCAD/EMTDC). Fault scenarios at distances from 0 to 28 km were tested. Results demonstrate a strong linearrelationship between fault distance and wavefront arrival time, with an average detection error of 1.72 μs.

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