{"title":"基于Adaline的单极自闭器电弧故障检测","authors":"O. Karacasu, M. H. Hocaoğlu","doi":"10.1109/SIU.2010.5653236","DOIUrl":null,"url":null,"abstract":"More than 80% of all system faults occur on the power systems are single phase to ground type faults and large majority of these faults are of a transient nature. For ensuring reliability of electricity transmission system, Single Pole Autoreclosers play an important role. However, conventional Single Pole Autoreclosers has no intelligent decision making tool for identification of fault type. In this study, Adaline based fault type identification method is proposed. The proposed algorithm is, also, able to identify secondary arc extinction time. Effectiveness of the proposed method is evaluated via using real data taken from an actual power system.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Arcing fault detection based on Adaline for Single-Pole Autorecloser\",\"authors\":\"O. Karacasu, M. H. Hocaoğlu\",\"doi\":\"10.1109/SIU.2010.5653236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"More than 80% of all system faults occur on the power systems are single phase to ground type faults and large majority of these faults are of a transient nature. For ensuring reliability of electricity transmission system, Single Pole Autoreclosers play an important role. However, conventional Single Pole Autoreclosers has no intelligent decision making tool for identification of fault type. In this study, Adaline based fault type identification method is proposed. The proposed algorithm is, also, able to identify secondary arc extinction time. Effectiveness of the proposed method is evaluated via using real data taken from an actual power system.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5653236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5653236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Arcing fault detection based on Adaline for Single-Pole Autorecloser
More than 80% of all system faults occur on the power systems are single phase to ground type faults and large majority of these faults are of a transient nature. For ensuring reliability of electricity transmission system, Single Pole Autoreclosers play an important role. However, conventional Single Pole Autoreclosers has no intelligent decision making tool for identification of fault type. In this study, Adaline based fault type identification method is proposed. The proposed algorithm is, also, able to identify secondary arc extinction time. Effectiveness of the proposed method is evaluated via using real data taken from an actual power system.