Fault Diagnosis for Distribution Networks Based on Fuzzy Information Fusion
In allusion to realize the fault pattern recognition in distribution network with a low degree of automation,a fault diagnosis method based on the fusion of fuzzy information is presented.For the purpose of improving the efficiency of fault diagnosis on important branch lines,based on the hierarchical model of feeder,the membership function through fusion of equipment alarm information in important branch lines and telephones complain information is improved.Besides,in order to reduce the adverse effects caused by manually setting the threshold too high or too low,the threshold value is partitioned by random sampling on the historical data,then we gets the statistical probability in different sections of threshold.Moreover,the evaluation parameter is defined to revise the fault diagnosis results to make the algorithm owe the ability to diagnosis multiple faults,thus solving the problem that multiple nodes fault is misjudged into fault in their public upstream node.Finally,a distribution line is taken as an example to verify the validity and permissibility of the algorithm in the case of both single failure and multiple failures.
Fault pattern identification Telephones complain Random sampling Statistical probability Multiple faults
Fangrong Wu Minfang Peng Mingjun Qi Liang Zhu Hua Leng Yi Su Qiang Zhong Hu Tan
College of Electrical and Information Engineering,Hunan University,Changsha 410082,China State Grid Hunan Electric Power Company,Changsha 410007,China
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
91-100
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）