{"title":"高比例分布式电网联锁故障的鉴别诊断方法","authors":"Yiming Han, Jianfeng Gong, Bin Zhang","doi":"10.1109/EEI59236.2023.10212537","DOIUrl":null,"url":null,"abstract":"In the current differential diagnosis of interlocking faults in distribution networks with high proportion of distributed power supplies, the fault nodes are not determined precisely enough, resulting in a low correctness of the differential diagnosis results. The method of differential diagnosis of distribution network interlocking faults with a high proportion of distributed power supplies is proposed. Principal component analysis processes fault information. Define the key node domain, calculate the maximum functional measure and identify the key nodes of chain faults. Analysis of key node discrepancy characteristics. Correlate the discrepancy diagnosis results. The experiments show that the method has a correct diagnosis rate of 98.47%, which is of high practical application value.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differential diagnosis method for interlocking faults in distribution networks containing a high proportion of distributed power connections\",\"authors\":\"Yiming Han, Jianfeng Gong, Bin Zhang\",\"doi\":\"10.1109/EEI59236.2023.10212537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the current differential diagnosis of interlocking faults in distribution networks with high proportion of distributed power supplies, the fault nodes are not determined precisely enough, resulting in a low correctness of the differential diagnosis results. The method of differential diagnosis of distribution network interlocking faults with a high proportion of distributed power supplies is proposed. Principal component analysis processes fault information. Define the key node domain, calculate the maximum functional measure and identify the key nodes of chain faults. Analysis of key node discrepancy characteristics. Correlate the discrepancy diagnosis results. The experiments show that the method has a correct diagnosis rate of 98.47%, which is of high practical application value.\",\"PeriodicalId\":363603,\"journal\":{\"name\":\"2023 5th International Conference on Electronic Engineering and Informatics (EEI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th International Conference on Electronic Engineering and Informatics (EEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEI59236.2023.10212537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEI59236.2023.10212537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Differential diagnosis method for interlocking faults in distribution networks containing a high proportion of distributed power connections
In the current differential diagnosis of interlocking faults in distribution networks with high proportion of distributed power supplies, the fault nodes are not determined precisely enough, resulting in a low correctness of the differential diagnosis results. The method of differential diagnosis of distribution network interlocking faults with a high proportion of distributed power supplies is proposed. Principal component analysis processes fault information. Define the key node domain, calculate the maximum functional measure and identify the key nodes of chain faults. Analysis of key node discrepancy characteristics. Correlate the discrepancy diagnosis results. The experiments show that the method has a correct diagnosis rate of 98.47%, which is of high practical application value.