期刊论文

Traveling Wave Fault Detection Method for Power Grid Based on Kalman Filtering Algorithm

中文

电力系统及其自动化学报

1003-8930

2018

30

6

31-38

10.3969/j.issn.1003-8930.2018.06.005

国家自然科学基金资助项目（51377012,51507015） 湖南省自然科学***基金资助项目（2015JJ1001） 电网安全监控技术教育部工程研究中心开放基金资助项目

本校为第一机构

行波检测是电网故障行波定位与行波保护技术的关键。为提高在含噪环境下行波检测的准确度与可靠性,本文提出了一种基于Kalman滤波算法的电网故障行波信号检测方法。该算法首先对电网电流信号进行分析,选取基波以及各次谐波作为状态变量建立状态空间,在此状态空间中利用Kalman滤波算法,实现对电网故障电流信号的预估及校正;由此得出校正后的电网电流信号幅值,利用幅值的奇异点进行行波检测分析,记录行波的到达时刻。仿真分析表明,Kalman滤波算法在不同的故障条件下均可准确检测出行波信号;在含噪声情况下和微弱信号下,相比于Hilbert-Huang变换和小波变换,Kalman滤波算法能有效提高电网故障行波定...

Travelling wave detection is the key to techniques of traveling wave fault location and traveling wave protec?tion for power grid. To improve the accuracy and reliability of traveling wave detection in a noisy environment,a travel?ing wave signal detection method for power grid fault is proposed based on Kalman filtering algorithm.First,the cur?rent signal of power grid is analyzed,and the fundamental wave and harmonic waves are selected as state variables to construct a state space,where Kalman filtering algorithm is used to realize the prediction and correction of the grid's fault current si...