铁路电力线路故障识别的融合算法研究

Study on Fusion Algorithm of Fault Diagnosis for Railway Power Line

铁路专用电力线的单相接地故障,会带来各种安全隐患,该故障的准确诊断较为困难．本文首先应用小波分析良好的局域化特性,对零序电流、电压进行分解,提取相应谐波频带信息,然后,利用该频带下的小波分解数据求解融合极性值,最后,联合稳态相位信息构造出综合故障选线判据．大量的仿真分析表明:采用本文提出的算法对线路单相接地故障进行识别是可靠的．

The single phase to ground fault for railway special power line has the potential danger of safety,and is difficult to diagnose accurately. Firstly, this paper applies wavelet analysis which has the good property of localization to decomlpose zero sequence current and voltage,and gets the information in harmonic frequency bands. Then, It uses the data of wavelet decomposition under the frequency bands to compute polar value. Finally, the comprehensive fault line detection criterion which combines the polar value and the phase of stable state are constructed. Many simulations show that the proposed algorithm is credible for the faulty diagnosis of single phase to ground fault in lines.