{"title":"基于级联模糊逻辑的光伏电弧故障检测","authors":"Benjamin Grichting, J. Goette, M. Jacomet","doi":"10.1109/ICCEP.2015.7177620","DOIUrl":null,"url":null,"abstract":"Arc faults in photo-voltaic (Pv) systems are dangerous events and can create huge damage. In order to decrease the number of these events, arc fault detectors are used. The advantages of the here presented detection algorithm are the relatively low computational demand and the ability to work with most standard analog-digital converter (Adc) contained in micro controllers.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Cascaded fuzzy logic based arc fault detection in photovoltaic applications\",\"authors\":\"Benjamin Grichting, J. Goette, M. Jacomet\",\"doi\":\"10.1109/ICCEP.2015.7177620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Arc faults in photo-voltaic (Pv) systems are dangerous events and can create huge damage. In order to decrease the number of these events, arc fault detectors are used. The advantages of the here presented detection algorithm are the relatively low computational demand and the ability to work with most standard analog-digital converter (Adc) contained in micro controllers.\",\"PeriodicalId\":423870,\"journal\":{\"name\":\"2015 International Conference on Clean Electrical Power (ICCEP)\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Clean Electrical Power (ICCEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEP.2015.7177620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2015.7177620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cascaded fuzzy logic based arc fault detection in photovoltaic applications
Arc faults in photo-voltaic (Pv) systems are dangerous events and can create huge damage. In order to decrease the number of these events, arc fault detectors are used. The advantages of the here presented detection algorithm are the relatively low computational demand and the ability to work with most standard analog-digital converter (Adc) contained in micro controllers.