{"title":"一种新的配电网故障定位神经网络方法","authors":"F. Yan, Wenxuan Liu, Lin Tian","doi":"10.1109/MEC.2011.6025718","DOIUrl":null,"url":null,"abstract":"On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A new neural network approach for fault location of distribution network\",\"authors\":\"F. Yan, Wenxuan Liu, Lin Tian\",\"doi\":\"10.1109/MEC.2011.6025718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.\",\"PeriodicalId\":386083,\"journal\":{\"name\":\"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)\",\"volume\":\"153 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEC.2011.6025718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEC.2011.6025718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new neural network approach for fault location of distribution network
On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.