基于粗糙集理论的配电网故障诊断研究

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处的任何先验信息，运用粗糙集理论研究了因保护装置和断路器误动或拒动，通信装置的故障等原因造成的不完备警报信号模式下的配网故障诊断新方法。该方法把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，然后实现决策表的自动化简和约简的搜索并利用决策表的约简形式，区分关键信号和非关键信号，直接从故障样本集中导出诊断规则，从而达到在不完备警报模式下快速准确地故障诊断的目的，揭示了警信息集合内在的冗余性。该文以VB6．0为主界面，运用Visual C 语言编程实现对故障区域的诊断，通过实际配电网的大量仿真表明：该方法简单，有效，具有良好的容错性能。

A STUDY OF FAULT DIAGNOSIS IN DISTRIBUTION LINE BASED ON ROUGH SET THEORY

Based on rough set theory, the paper proposes an new distribution network fault diagnosis approach to deal with the imperfect alarm signals, caused by malfunction or failing operation of protection relays and circuit breakers, error in the communication equipment. 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. Then, diagnostic rules are extracted by reducing the decision table. Using the reducts of decision table, the diagnosis rules can be obtained directly from fault samples which have been established. The method can tell indispensable fault signals from the dispensable ones and discover the inherent redundancy of alarm signal set. Finally, a practical fault diagnosis program is proposed based on VC 6.0, with the main interface made by VB6.0. A lot of simulation results show that the method is quite efficient and has excellent fault-tolerance capability.