Distribution Network Fault Location Based on Rough Set and Data Fusion
Distribution Network Fault Location Based on Rough Set and Data Fusion
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DOI：
10.1109/iaeac47372.2019.8998063
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发表时间：
2019-12
期刊：
影响因子：
--
通讯作者：
Huang Changhua
中科院分区：
文献类型：
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作者：
Huang Changhua
在智能电表普及、集中阅读设备进一步升级的背景下，在配网部分非测控区域依托双向通信系统，电力企业也可以通过智能电表及时或真实的获取用户的多个电量数值。因此，对于给定的配电网拓扑，在已采集用户电表信息的配电网非测控区域，将用户智能电表信息、用户电话投诉信息和设备告警信息作为故障分类的条件属性建立故障决策表，并求出最小约简。然后，根据这三种信息，对约简后的故障决策表进行属性匹配，确定故障区段。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。
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.