电力系统自动化2011，Vol.35Issue(15)：46-51,6.
基于时序模糊Petri网的电力系统故障诊断
Power System Fault Diagnosis Approach Based on Time Sequence Fuzzy Petri Net
摘要
Abstract
Power system fault diagnosis approach based on fuzzy Petri net in consideration of time sequence is proposed.By analyzing the characteristics of a fault diagnosis model,a fast modify method of the model when network topology structure changes is presented.Through full and reasonable using time sequence property of operation information of circuit breakers and protection,a correction algorithms is proposed in case of incomplete information of relay operations,and a better operation evaluation for relay protection can be completed.As an example,a 14-bus system is tested to verify the accuracy of diagnostic methods and the fastness of model updating method.In comparing with existing methods,the novel method proposed has better accuracy and higher speed,and can adapt to the network topology changes and in favor of large power system fault diagnosis.关键词
故障诊断/时序模糊Petri网/时序信息/不完备信息/电力系统Key words
fault diagnosis/time sequence fuzzy Petri net/time sequence information/incomplete information/power systems分类
信息技术与安全科学引用本文复制引用
杨健维,何正友..基于时序模糊Petri网的电力系统故障诊断[J].电力系统自动化,2011,35(15):46-51,6.基金项目
国家自然科学基金资助项目 （）
