电工技术学报2017，Vol.32Issue(14)：229-237,9.DOI:10.19595/j.cnki.1000-6753.tces.161670
基于时序信息的模糊Petri网 电网故障诊断方法
Power System Fault Analysis Based on Hierarchical Fuzzy Petri Net Considering Time Association Character
摘要
Abstract
In order to improve the accuracy of power system fault diagnosis, a power grid fault diagnosis method based on hierarchical transition fuzzy Petri nets is proposed, where temporal information of alerting signals is used. The first objective of this method is to build fault diagnosis model of hierarchy weighted fuzzy Petri net (WFPN). Secondly, the related time association character (TAC) is set up. And then the consistency check is carried out among fault components, protection operations and related breakers tripping. Finally, this method can make a fault diagnosis through fuzzy inference, and judge the abnormal behaviors from the protection and breaker. Case study has verified the proposed method can improve the accuracy and fault tolerance.关键词
电网故障诊断/模糊Petri网/时间关联特性/分层变迁Key words
Power system fault diagnosis/fuzzy Petri net/time association character/hierarchical transition分类
信息技术与安全科学引用本文复制引用
程学珍,林晓晓,朱春华,陈强,曹茂永..基于时序信息的模糊Petri网 电网故障诊断方法[J].电工技术学报,2017,32(14):229-237,9.基金项目
国家自然科学基金重大项目(U1261205)、国家自然科学基金项目(61503224)和山东省重点研发计划项目(2016GSF117009)资助. （U1261205）
