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Distribution Network Fault Location Based on Rough Set and Data Fusion

机译:基于粗糙集和数据融合的配电网故障定位

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Under the background of the popularization of smart meters and the further upgrading of centralized reading equipment, relying on two-way communication system in some non-measurement and control areas of distribution network, power enterprises can also obtain users'multiple electricity values through smart meters in time or in real time. Therefore, for a given distribution network topology, in the non-measurement and control area of the distribution network where the user's meter information has been collected, the user's smart meter information, the user's telephone complaint information and the equipment alarm information are taken as the condition attributes of the fault classification to establish the fault decision table, and find the minimum reduction. Then, according to the three kinds of information, attribute matching of the reduced fault decision table is carried out to determine the fault section. The simulation results show that the proposed method greatly reduces the number of complaint calls needed for fault location and shortens the time of fault location.
机译:在智能电表普及和集中阅读设备进一步升级的背景下,依靠配电网一些非测控领域的双向通讯系统,电力企业还可以通过智能电表获取用户的多电价。及时或实时。因此,对于给定的配电网络拓扑,在已收集用户电表信息的配电网非测控区域中,将用户的智能电表信息,用户的电话投诉信息和设备告警信息作为根据故障分类的条件属性,建立故障决策表,并找到最小化的减少量。然后,根据这三种信息,进行简化故障决策表的属性匹配,确定故障区间。仿真结果表明,该方法大大减少了故障定位所需的投诉电话数量,缩短了故障定位时间。

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