输电网故障诊断决策表约简新方法

A New Method of Reduction of Decision Table for Power System Fault Diagnosis

研究输电网故障诊断问题。电力系统日趋复杂,势必导致电力系统故障诊断中的决策表也更加复杂,针对决策表约简问题,提出了采用粗糙集理论与关联规则数据挖掘技术相结合的方法对决策表进行约简,将传统的粗糙集约简算法进行改进,并将得到的约简结果根据保护、断路器和元件之间存在的内部联系,运用关联规则数据挖掘技术进一步约简,最终得到简单的决策策略。通过算例分析表明所提算法简单、快速、有效。运用Visual C++编程实现了对算例的决策表约简,证明了新方法的正确性。

This paper is in research of fault diagnosis method for transmission network. With the power system being more and more complex,it will inevitably lead to the increasing complexity of decision table for fault diagnosis of power system. Aiming at the problem of reducing decision table,this paper presents a reduction method of decision table based on the rough set theory and association rule data mining technology. The method improves traditional rough sets reduction algorithm and reduces the obtained results fatherly according to the existed between protection,circuit breaker and the components of the internal connection with the application of association rules data mining technology. Finally a simple decision strategy is got. Through example analysis shown that the proposed method is simple,rapid and effective. Visual C ＋ ＋ programming is used to realize the reduction of decision table for example and which has proved the correctness of the method.