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基于卡尔曼滤波的行波波头检测算法研究 被引量:5

Research on the Wave Head Detecting Algorithm Based on Kalman Filtering
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摘要 为了解决采用暂态行波对电力线路发生的故障进行定位时行波波头不易提取的问题,引入卡尔曼滤波算法进行行波波头检测。依据实际行波信号的特点建立故障电压行波模型,采用卡尔曼滤波的递推算法对模型中的基频以及各次谐波分量进行滤波处理,将得到的滤波结果在原信号的基础上进行消减即得到包含有行波波头信息的信号。建立系统发生单相接地故障模型,对模型中的故障行波信号应用该检测方法进行波头信息提取,仿真分析结果表明:所提出的方法能够有效地检测到行波波头,具有很好的实用性。 To address the difficulties in extracting the traveling wave head while positioning the faults in the transmission line,this paper proposes a new kind of wave head detecting method based on Kalman filtering for precise positioning. The model of voltage wave is established according to the actual characteristics of traveling wave signal. Recursion method of Kalman filtering is used to process the signal which contains fundamental component and harmonic components in the model.The wave head signal can be obtained by subtracting the filtering result from the original signal. The single-phase grounding model is established and the method proposed is used to extract the wave head signal from the transient traveling wave signal in this model. Simulation result shows that the method proposed can effectively detect the wave head,and it is of great practical value.
出处 《电网与清洁能源》 北大核心 2016年第1期53-58,共6页 Power System and Clean Energy
关键词 行波定位 暂态行波 卡尔曼滤波 波头检测 递推算法 traveling wave location transient traveling wave Kalman filtering wave head detecting recursive algorithm
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