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A wavelet packet transform approach for locating faults in distribution system

机译:基于小波包变换的配电系统故障定位方法

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Accurate location of faults in a distribution system is a need of present scenario in order to provide uninterrupted supply to the customers. Research is under way to increase the accuracy of the fault in distribution system. It should also be kept in mind that transmission line fault location algorithms cannot be directly employed on distribution system because of the configuration of distribution system. In the present work, the authors have developed an algorithm for locating all ten types of faults by extracting the features of voltage signals by wavelet packet transform and subjecting it to artificial neural network. The voltage samples have been collected after extensive simulation of a sample distribution system over different range of fault resistance, inception angle in PSCAD (Power System Computer Aided Design) software. The results thus obtained from the proposed algorithm are found to be very promising. The algorithm has been developed keeping in view the pragmatics hurdle of the multiple estimation which have been successfully tackled.
机译:当前情况下需要在配电系统中准确定位故障,以便为客户提供不间断的供电。为了提高配电系统故障的准确性,正在进行研究。还应该记住,由于配电系统的配置,输电线路故障定位算法不能直接用于配电系统。在目前的工作中,作者开发了一种算法,通过小波包变换提取电压信号的特征并将其置于人工神经网络中,从而对所有十种类型的故障进行定位。在PSCAD(电力系统计算机辅助设计)软件中,在不同的故障电阻和起始角度范围内对样本分配系统进行了广泛的仿真之后,已经收集了电压样本。因此,从提出的算法中获得的结果非常有希望。考虑到已成功解决的多重估计的语用障碍,开发了该算法。

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