基于改进时序模糊Petri网的电力系统故障诊断

Fault Diagnosis of Power System Based on Improved Timing Fuzzy Petri Net

为充分利用电力系统故障的时序特性,提出了一种改进时序模糊Petri网的电力系统故障诊断方法。该文首先在传统模糊Petri网模型的基础上,根据分层模糊Petri网的特点进行优化,其次加入时序分析的方法,在矩阵计算中减少了迭代的步骤,使故障检测和时序检查可同时进行,避免了以往计算的繁琐和时序上的延时,最后通过仿真测试,证明该方法提高了电力系统故障诊断的速度和精确度,具有良好的实用价值。

In order to make full use of the timing characteristics of power system failure,a fault diagnosis method of power system based on improved sequential fuzzy Petri net is proposed.Based on the mathematical model of traditional fuzzy Petri net,this paper first uses the advantages of hierarchical fuzzy Petri net to optimize it.Secondly,a method of time series analysis was used to reduce the iteration step in matrix calculation,so that fault detection and timing checking can be carried out simultaneously.And finally,the method was proved that it can improve the speed of the grid detection and accuracy and has a good practical value through the simulation.