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基于时序信息的模糊Petri网电网故障诊断方法 被引量:31

Power System Fault Analysis Based on Hierarchical Fuzzy Petri Net Considering Time Association Character
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摘要 为提高电网故障诊断的准确性,充分利用报警信号的时序信息,研究一种基于时序信息的分层变迁模糊Petri网故障诊断方法。首先,建立分层变迁加权模糊Petri网(WFPN)故障诊断模型;其次,构建元件、保护和断路器之间的时间关联特性(TAC),进行时间关联一致性检查;最后,通过模糊推理进行故障诊断,并对保护和断路器异常行为进行评判。通过典型电网算例推理验证,结果证明该方法不仅能够提高故障诊断的准确性和容错性,还能够判断保护和断路器的异常行为并推出元件故障发生时刻。 In order to improve the accuracy of power system fault diagnosis,a power grid faultdiagnosis method based on hierarchical transition fuzzy Petri nets is proposed,where temporalinformation of alerting signals is used.The first objective of this method is to build fault diagnosismodel 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,protectionoperations and related breakers tripping.Finally,this method can make a fault diagnosis through fuzzyinference,and judge the abnormal behaviors from the protection and breaker.Case study has verifiedthe proposed method can improve the accuracy and fault tolerance.
作者 程学珍 林晓晓 朱春华 陈强 曹茂永 Cheng Xuezhen;Lin Xiaoxiao;Zhu Chunhua;Chen Qiang;Cao Maoyong(College of Electrical Engineering and Automation Shandong University of Science and Technology,Qingdao 266590 China;State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology,Qingdao 266590 China;State Grid Fujian Electric Power Company Putian Power Supply Company,Putian 351100 China)
出处 《电工技术学报》 EI CSCD 北大核心 2017年第14期229-237,共9页 Transactions of China Electrotechnical Society
基金 国家自然科学基金重大项目(U1261205) 国家自然科学基金项目(61503224) 山东省重点研发计划项目(2016GSF117009)资助
关键词 电网故障诊断 模糊PETRI网 时间关联特性 分层变迁 Power system fault diagnosis fuzzy Petri net time association character hierarchical transition
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