基于加权模糊时序Petri网络的电网故障诊断模型

提出了一种基于加权模糊时序Petri网络(FTPN)的电网故障智能诊断模型,该模型主要包括停电区域识别、可能故障元件加权FTPN建模、故障元件集求解、保护/断路器动作情况判定4个部分。介绍了故障差错告警差错信息的分类以及故障告警信息时序特性,研究了断路器动作信息及网络拓扑关系,结合广度优先搜索,得到了停电区域识别方法。最后,以新英格兰10机39节点系统为例,建立了母线和线路加权FTPN故障诊断数学模型,并给出该系统的总体结构,结果表明该模型能够快速故障定位,准确提供保护和断路器动作评价信息。

A model of fault diagnosis for power system based on time sequence fuzzy Petri net

A model of fault diagnosis for power system based on time sequence fuzzy Petri net is proposed, which mainly includes identifying blackout area, modeling for time sequence fuzzy Petri net of possible faulty components, solving faulty component set and judging operation information of protection and circuit breakers. Fault alarm error information classification and fault alarm information timing characteristics are introduced. Based on the study of operation information of circuit breakers and network topology, the method for identifying blackout area is given with BFS. Finally, take New England 10 machine 39 node system as an example, mathematical models of fault diagnosis for power lines and bus on time sequence fuzzy Petri net are established, and the overall structure of this system is given, results show that it can rapidly locate fault, and accurately give operation information of protection and circuit breakers.