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Taking complex power network fault diagnosis as the target,this paper analyzed the process of fault diagnosis in the case of multiple faults and accompanied by uncertain factors,considering the protection and circuit breaker failure,the possibility of misoperation and false alarm information in the process of uploading the false alarm information.The relationship among protection rule,action state and alarm information was analyzed to realize decoupling between actual action state and alarm information.And a new criterion of electric variable was put forward using PMU electrical state information.The constraint was added to the conventional analytical model,and the redundancy of fault diagnosis information was realized,which greatly reduced the possibility of false diagnosis.
[1]Cardoso G,Rolim J G,Zurn H H.Identifying the Primary Fault Section After Contingencies in Bulk Power Systems[J].IEEE Transactions on Power Delivery,2008,23(3):1 335-1 342.
[2]Meng K,Dong Z Y,Wang D H,et al.A Self-A-daptive RBF Neural Network Classifier for Transformer Fault Analysis[J].IEEE Transactions on Power Systems,2010,25(3):1 350-1 360.
[3]郭文鑫,文福拴,廖志伟,等.计及保护和断路器误动与拒动的电力系统故障诊断解析模型[J].电力系统自动化,2009,33(24):6-10.
[4]Guo W,Wen F,Ledwich G,et al.An Analytic Model for Fault Diagnosis in Power Systems Considering Malfunctions of Protective Relays and Circuit Breakers[J].IEEE Transactions on Power Delivery,2010,25(3):1 393-1 401.
[5]刘道兵,顾雪平,李海鹏.电网故障诊断的一种完全解析模型[J].中国电机工程学报,2011,31(34):85-92.
[6]童晓阳,谢红涛,孙明蔚.计及时序信息检查的分层模糊Petri网电网故障诊断模型[J].电力系统自动化,2013,37(6):63-68.
[7]董明,韦刘红,文福拴,等.电力系统故障诊断的机会约束规划模型与方法[J].电力系统自动化,2011,35(20):47-52.
[8]董明,张勇,张岩,等.含电气量信息的电力系统故障诊断解析模型[J].电力系统自动化,2013,37(6):55-62.
Basic Information:
DOI：10.20040/j.cnki.1000-7709.2019.03.037
China Classification Code:TM711
Citation Information:
[1]LI Chun-hui,GAO Liang,ZHANG Jun-feng ,et al.Fault Diagnosis of Transmission Network Based on Electrical Criterion[J].Water Resources and Power,2019,37(03):145-149.DOI:10.20040/j.cnki.1000-7709.2019.03.037.
Fund Information:
国家自然科学基金项目(51607110); 上海市自然科学基金项目(14ZR1417600)
2019-03-25
2019-03-25