Abstract

In this paper, a fault diagnosis scheme is proposed in the transmission line, by which the faults can be classified and located correctly and rapidly using voltage amplitudes and support vector machine. A high voltage power system transmission line is simulated by MATLAB to produce a fault data set. The three-phase fault voltages are obtained at one terminal point of the line. The amplitudes of the three-phase fault voltages will be applied as the fault features to train the support vector classification (SVC) and realize fault classification after the three-phase fault voltages pass through a low-pass filter to remove the noise. After knowing the fault type, the voltage amplitude of the phase where the fault occurs will be used as the fault feature to train the support vector regression (SVR) and realize the fault location. Compared with other fault classification and fault location schemes, the proposed fault diagnosis scheme needs less information to provide one hundred percent classification accuracy and high accurate estimations of fault location. Simulations and comparisons show the proposed scheme is better than other schemes.

中文翻译：

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利用电压幅度和支持向量机的输电线路故障分类后的故障定位

摘要

本文提出了一种输电线路故障诊断方案，利用电压幅值和支持向量机可以对故障进行正确，快速的分类和定位。MATLAB对高压电力系统传输线进行了仿真，以生成故障数据集。在线路的一个端点处获得三相故障电压。三相故障电压的幅度将被用作故障特征，以训练支持向量分类（SVC），并在三相故障电压通过低通滤波器以消除噪声后实现故障分类。知道故障类型后，将发生故障的相的电压幅度用作故障特征，以训练支持向量回归（SVR）并实现故障定位。与其他故障分类和故障定位方案相比，所提出的故障诊断方案需要较少的信息来提供百分之一百的分类精度和对故障位置的高精度估算。仿真和比较表明，该方案优于其他方案。