粗糙集理论在配电网故障诊断中的应用

鉴于粗糙集理论在处理不精确问题时,不需要提供待求解问题所需处理的数据集合之外的任何先验信息,运用粗糙集理论研究了因保护装置和断路器误动或拒动、通信装置故障等原因造成的不完备警报信号模式下的配电网故障诊断新方法。该方法将保护和断路器的信号作为对故障分类的条件属性集,考虑了各种可能发生的故障情况,以此建立决策表,直接从故障样本集中导出诊断规则,并揭示了警报信息内在冗余性。运用Visual Studio.NET开发平台,使用Vis- ual C#语言对配电网典型网络的故障诊断进行了编程,算例结果表明了该方法的有效性。

The Application of Rough Set Theory in the Fault Diagnosis of Distribution Network

Based on the rough set theory,a new distribution network fault diagnosis approach to deal with the imperfect alarm signals that caused by malfunction or failing operation of protec- tion relays and circuit breakers,error in the communication e- quipment is proposed.Due to rough set theory can effectively handle the imprecise problems without any ancestor information except the data set itself,a decision table including all kinds of fault cases is established by considering the signals of protection relays and circuit breakers,and the approach can extract diagno- sis rules from the set of fault samples directly.The inherent re- dundancy in the alarm information is exposed.A practical fault diagnosis program of the typical distribution network is proposed by using Visual C# language based on Visual Studio^NET devel- oping platform.The result shows the validity of the proposed method.