电力系统自动化2018，Vol.42Issue(2)：70-76,7.DOI:10.7500/AEPS20170320004
基于模糊时间Petri网的电网故障诊断方法
Fault Diagnosis Method of Power System Based on Fuzzy Time Petri Net
摘要
Abstract
As the first link of power system failure emergency treatment,fault section estimation plays an important role in power system online control operation.Since the existing Petri net based fault diagnosis method does not make full use of the timing information and temporal reasoning process is complicated and time-consuming,a fault diagnosis method based on fuzzy time Petri net is proposed.Firstly,a time interval is set for each place and transition of the Petri net model to describe the timing constraints of the alarm information.Then related reasoning operation of the confidence probability and the timing constraint is defined.And based on the model structure,the hierarchical reasoning process of the fuzzy time Petri net is established.The reasoning process can be used to infer the confidence probability of the component failure as well as its time point constraint.Finally,the simulation results show that the proposed method can quickly determine the faulty components with strong fault tolerance.The diagnosis results are correct and reasonable,which can make correct evaluation of the alarm information.关键词
故障诊断/模糊时间Petri网/时序推理/动作评价Key words
fault diagnosis/fuzzy time Petri net/temporal reasoning/activity evaluation引用本文复制引用
徐彪,尹项根,汪旸,张哲,郝洵,陈钟钟..基于模糊时间Petri网的电网故障诊断方法[J].电力系统自动化,2018,42(2):70-76,7.基金项目
国家重点研发计划资助项目(2016YFB0900600). This work is supported by National Key R&D Program of China(No.2016YFB0900600). （2016YFB0900600）
