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Researching on Distribution Network Fault Location System

机译:配电网故障定位系统研究

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摘要

In this study, we propose the method using rough set theory to realize the distribution network fault positioning in WEBGIS environment. According to the distribution network tree structure, using of the area user s' fault complain information as condition attributes, fault elements as decision attribute, form the decision table automatically. By using rough set method reduce the decision table, the minimal reduction of decision table for fault diagnosis is derived, the minimal diagnostic rules are obtained, guarantee the objectivity of the rule. When the fault complain call information is imperfect, it can still achieve rapid, accurate fault location on purpose, has good fault tolerance performance. In this study the use of C# language programming to achieve the reduction process for distribution network fault diagnosis decision table, combined with the WEBGIS platform, make full use of internal network database resources, to realize fault diagnosis simple and rapid operation and fault location visualization. The results show that the method is feasible and effective.
机译:在这项研究中,我们提出使用粗糙集理论的方法来实现WEBGIS环境中的配电网故障定位。根据配电网的树状结构,以区域用户的故障投诉信息为条件属性,故障要素为决策属性,自动形成决策表。利用粗糙集法对决策表进行约简,推导出故障诊断决策表的最小约简,求出最小诊断规则,保证了规则的客观性。当故障投诉电话信息不完善时,仍可以有目的地实现快速,准确的故障定位,具有良好的容错性能。本研究利用C#语言编程来实现配电网故障诊断决策表的简化过程,并结合WEBGIS平台,充分利用内部网络数据库资源,实现故障诊断的简单,快速操作和故障定位的可视化。结果表明,该方法是可行和有效的。

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