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机构地区:[1]华北电力大学电气与电子工程学院,河北保定071003
出 处:《电测与仪表》2015年第16期6-10,42,共6页Electrical Measurement & Instrumentation
摘 要:中性点不接地的系统运行方式广为我国10kV配电网所采用,发生单相接地故障时,流经对地电容的故障电流较小,使得故障信号难以捕捉,加之网络分支较多,故障定位难以实现。为了解决快速定位的问题,提出了C型行波与决策树相互结合的综合故障定位法。首先利用C型行波在故障测距中的优势与经验模态分解(Empirical Mode Decomposition,EMD)的去噪功能,确定故障点与测量端之间的距离;其次利用决策树的分类功能针对网络多分支的特点,对线路不同区段进行分类,判断故障信号来源,并通过与BP神经网络与RBF神经网络的判断结果进行对比表明:C型行波与决策树相互结合的方法能够准确地对带有多分支的10kV配电网进行单相接地故障的快速定位。10kV distribution networks mostly adopt the neutral non-grounded way in china. When the single phase grounding fault occurs,the fault current is flowing through the capacitance of conductors to earth,and the signal is too weak to be captured. Meanwhile,they also have lots of network branches,so the fault location is difficult to achieve.In order to find the fault point quickly,a comprehensive method which combined C-type of traveling wave and decision tree is proposed. The first step of the method is using the advantages of C-traveling wave fault location method in distance measuring and the noise elimination function of Empirical Mode Decomposition( EMD) to determine the fault distance; The second one is to find out the fault section by using the decision tree. By comparing with the judging results of BP and RBF neural network,it shows that the method based on decision tree can determine the single phase grounding fault point in 10 kV distribution networks with branches quickly and accurately.
关 键 词:10kV配电网 单相接地故障定位 经验模态分解 C型行波 决策树 BP RBF
分 类 号:TM86[电气工程—高电压与绝缘技术]
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