R. Dela Pena, A. Garnett, S. Gibson, X. Han, B. Leed, N. Bousaba, A. Ebong, B. Rodriguez, M. Bolen
{"title":"Non-invasive tracking of photovoltaic modules at the utility scale level","authors":"R. Dela Pena, A. Garnett, S. Gibson, X. Han, B. Leed, N. Bousaba, A. Ebong, B. Rodriguez, M. Bolen","doi":"10.1109/SECON.2017.7925310","DOIUrl":null,"url":null,"abstract":"Existing methods of utility-scale PV plant monitoring and measurement are invasive, and often require disconnection of the solar module in order to connect the module to measuring tools. This paper describes a method to validate a novel approach to non-invasive monitoring. Specifications for the technique include the ability to understand and diagnose plant health while also being cost-efficient and time-efficient compared to existing methods. After a series of research and on-site solar farm visits, it was concluded that a way to measure performance without the need for module disconnection would be to use plant health metrics that a typical solar farm accesses daily, and compare those metrics to an ideal metrics.","PeriodicalId":368197,"journal":{"name":"SoutheastCon 2017","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoutheastCon 2017","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2017.7925310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Existing methods of utility-scale PV plant monitoring and measurement are invasive, and often require disconnection of the solar module in order to connect the module to measuring tools. This paper describes a method to validate a novel approach to non-invasive monitoring. Specifications for the technique include the ability to understand and diagnose plant health while also being cost-efficient and time-efficient compared to existing methods. After a series of research and on-site solar farm visits, it was concluded that a way to measure performance without the need for module disconnection would be to use plant health metrics that a typical solar farm accesses daily, and compare those metrics to an ideal metrics.