李英春 白艺 褚恩亮 朱世刚

摘要：为解决采用暂态行波对电力线路进行故障定位时，行波波头不易标定的问题，提出一种采用自适应噪声的完备集合经验模态分解与包络导数能量算子相结合的波头标定算法。首先，依据实际行波信号的特点建立故障电压行波模型;其次，采用自适应噪声的完备集合经验模态分解故障信号，从中提取高频固有模态函数分量;然后利用包络导数能量算子增强波头突变特征，最终精确标定行波波头到达测量端的时刻。Matlab仿真结果表明：所提出的方法能够精确有效地检测到行波波头，具有可行性。采用现场故障录波数据验证，结果表明：该文波头标定方法的判定时间误差小于1?s，证明其有效性。

关键词：波头标定;自适应噪声;经验模态分解;包络导数能量算子

中图分类号： TM931文献标志码： A文章编号：1674–5124（2021）12–0098–08

Research on traveling wave head detecting algorithm based on CEEMDAN-EDO

LI Yingchun1，BAI Yi1，CHU Enliang2，ZHU Shigang3

（1. School of Electrical and Control Engineering， Shaanxi University of Science and Technology， Xian 710021， China;2. State Grid Shanxi Province Electric Power Company Lüliang Power， Lüliang 033000， China;3. Mcc Paper Yinhe Co.， Ltd.， Linqing 252600， China）

Abstract： In order to solve the problem that the line wave head is not easy to de-label when using transient wave to fault position the power line， a wave head calibration algorithm combining the complete ensemble empirical mode decomposition with adaptive noise and the envelope derivative operator is proposed. First， the model of voltage wave is established according to the actual characteristics of traveling wave signal. Second， CEEMDAN is used to decompose fault signals and extract high frequency intrinsic mode function components. Third， theenvelopederivativeoperatoris used toenhance the transientcharacteristicsof the wave head. Finally， the timeof the wave headarrivingat the measurementendcan be preciselydetermined. Matlab simulation results show that the proposed method can accurately and effectively detect the traveling wave head and is feasible. Using field fault recorder data to verify， the results show that： the judgment time error of the wave head calibration method in this paper is less than 1μs， which is effective.

Keywords： wave head detecting; adaptive noise; empirical mode decomposition; envelope derivative operator

0引言

電力线路架设的环境恶劣，导致故障频发，其中发生的80%为单相接地故障。为维持电网的稳定运行，要求工作人员及时地排除故障和修复线路，因此故障点的定位需要具备较高的快速性和准确性[1]。在众多的故障定位方法中，行波法的原理较为简单，且不受过渡电阻、故障类型等因素的影响，所以不仅在理论研究上发展迅速，在故障现场也应用广泛[2]。但因为行波信号具备电磁波固有的色散特性，持续时间短。另外信号频带宽，所需要的高采样率又受到大量的噪声干扰，导致行波信号难以被分析[3]。这些特点使得如何准确标定行波的波头成为行波法中减小定位误差的关键研究内容[4]。……