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行波信号奇异点的精确提取与否以及波速、线路长度的参数设置是影响牵引网故障测距精度的主要原因。针对这一问题,提出利用二分递推奇异值分解与改进的D型测距算法相结合的故障测距算法。利用二分递推奇异值分解法对行波信号进行奇异点的提取,得到奇异点对应的故障行波和反射波到达检测端的时间,将该时间带入不受波速和线路长度变化干扰的改进D型测距算法中。其中,二分递推奇异值分解较常规的奇异值分解具有计算速度快、精度高的特点。改进的D型测距算法能有效消除谐波的干扰和减弱负荷变化对测距结果的影响。仿真结果表明,基于二者相结合的故障测距方法可以准确计算出故障点位置。
The precise extraction of the singular points of traveling wave signal and the parameter setting of wave velocity and line length are the main reasons that affect the precision of fault location in traction network. To solve this problem, this paper proposes a fault location algorithm based on two-point recursive singular value decomposition and improved D-range algorithm. The binary singular value decomposition method is used to extract the singular points of the traveling wave signal to obtain the time when the traveling wave and the reflected wave arriving at the detection end corresponding to the singularity point are brought into being improved without being disturbed by the variation of wave speed and line length Type ranging algorithm. Among them, the dichotomous recursive singular value decomposition has the characteristics of high computational speed and high accuracy compared with the conventional singular value decomposition. The improved D-type ranging algorithm can effectively eliminate the interference of harmonics and reduce the impact of load changes on the ranging results. The simulation results show that the fault location based on the combination of the two can accurately calculate the fault location.