{"title":"New method for fault detection of PV panels in domestic applications","authors":"M. Davarifar, A. Rabhi, A. El Hajjaji, M. Dahmane","doi":"10.1109/ICOSC.2013.6750940","DOIUrl":null,"url":null,"abstract":"This research is presented a new algorithm and method for fault detection of photovoltaic panels in Residential Photovoltaic System (RPS). Our proposed PV performance diagnosis system is consist of two parts, passive and active part. In the passive diagnosis part, residue value is generated with Model Base Fault Diagnosis (MBFD) method to observe clear alarm signal from arbitrary data. As well, statistical method such as Wald test technique is used to detect primary alarm in passive part. After observing the clear alarm signal, flash test is applied for investigating closer scrutiny of I-V characteristic to determine different type of faults (active part). This proposed Simple Flash Test Driver (FTD) device could be integrated in the modern inverters in order to increase the efficiency and reliability of the RPS without increasing any additional cost of materials and device in commercial DC/DC inverter.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Conference on Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2013.6750940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
This research is presented a new algorithm and method for fault detection of photovoltaic panels in Residential Photovoltaic System (RPS). Our proposed PV performance diagnosis system is consist of two parts, passive and active part. In the passive diagnosis part, residue value is generated with Model Base Fault Diagnosis (MBFD) method to observe clear alarm signal from arbitrary data. As well, statistical method such as Wald test technique is used to detect primary alarm in passive part. After observing the clear alarm signal, flash test is applied for investigating closer scrutiny of I-V characteristic to determine different type of faults (active part). This proposed Simple Flash Test Driver (FTD) device could be integrated in the modern inverters in order to increase the efficiency and reliability of the RPS without increasing any additional cost of materials and device in commercial DC/DC inverter.
提出了一种用于住宅光伏系统中光伏板故障检测的新算法和方法。本文提出的光伏性能诊断系统由被动和主动两部分组成。在被动诊断部分,利用MBFD (Model Base Fault diagnosis)方法生成残差值,从任意数据中观察到清晰的报警信号。并采用Wald试验技术等统计方法检测被动部分的主报警。观察到清晰的报警信号后,采用闪变试验对I-V特性进行更仔细的检查,以确定不同类型的故障(活动部分)。本文提出的简单闪存测试驱动(FTD)器件可以集成在现代逆变器中,以提高RPS的效率和可靠性,而不会增加商用DC/DC逆变器中任何额外的材料和器件成本。