模糊PETRI网在电力系统故障诊断中的应用

在电力系统中，如何处理大量不完全且不确定的继电保护及断路器动作信息，从而准确地进行故障诊断，一直是研究人员所关心的问题。该文利用具有较好的并行处理性、快速性及容错性的模糊Petri网来处理电力系统故障诊断中的不确定动作信息，给出了一种新的故障诊断分析方法，可实现准确而有效的故障诊断功能。文中首先介绍了模糊Petri网的结构和定义；然后建立了故障诊断的模糊Petri网模型；最后通过实例数据验证了此方法的有效性和可行性。

FUZZY PETRI NETS AND ITS APPLICATION IN THE FAULT DIAGNOSIS OF ELECTRIC POWER SYSTEMS

In electric power systems, it is a key technical problem to deal with lots of incomplete and uncertain behavior information of relay protections and breakers so as to diagnose their faults accurately. In this paper, Fuzzy Petri Nets are employed to deal with the incomplete and uncertain information, which are characterized by their parallel processing, rapid response, and fault tolerance, so that a novel method of fault diagnosis for electric power systems is established. Based on this method a high accurate and effective fault diagnosis can be achieved. In the paper, the structure and definition of Fuzzy Petri Nets are discussed at first, then some models of fault diagnosis of power systems are built, finally, the validity and feasibility of this method are testified by simulation examples.