（19期已排版）基于无迹卡尔曼滤波的行波波头辨识

行波测距的关键问题是行波到达时刻的准确标定。然而系统在过零点发生故障或者经高阻接地短路时,故障行波信号比较微弱,利用奇异性判断行波突变的方法会出现很大的误差。为了准确捕捉故障暂态行波,文中提出了一种新的行波辨识方法,通过分析行波传输特性,构建行波波头数学模型,利用无迹卡尔曼滤波的状态估计能力,对行波波头进行辨识,从而获得行波到达故障检测装置的时刻。仿真结果可以看出,在信噪比较低的情况下,该方法依然能够辨识行波波头,具有很好的工程实用性。

The Unscented Kalman Filter for traveling wave head identification

It's critical to accurately calibrate the arrival time of traveling wave in its fault location. However, when zero crossing fault or a short to ground through high impedance fault appears in the power system, the traveling wave signal will be relatively weak, and singular judgment traveling wave method mutations occur significant errors. In or-der to accurately capture the fault transient traveling wave, this paper proposes a new method to identify the traveling wave. By analyzing the traveling wave transmission characteristics and building an estimated capacity of traveling wave mathematical model, the method applies unscented Kalman filter state to identify traveling wave head and obtain trave-ling wave arrival time to fault detection device. The simulation results show that even in the low SNR, this method can still identify the traveling wave with good practicability.