W. Hobbs, David J. Ault, V. Gevorgian, G. Saraswat
{"title":"Accuracy of Potential High Limit Estimation for Solar Plants in the Southeast US","authors":"W. Hobbs, David J. Ault, V. Gevorgian, G. Saraswat","doi":"10.1109/PVSC48317.2022.9938540","DOIUrl":null,"url":null,"abstract":"Flexible solar operation, where solar photovoltaic (PV) plants follow up- and down-regulation signals, has signifi-cant potential to improve integration of solar into power grids. To optimize operation, it is important to accurately estimate the potential maximum power output, or potential high limit (PHL), of a plant in real time during periods where output has been reduced. As the PHL cannot be directly measured while a plant is curtailed, and it is driven by highly variable weather and plant conditions, model-based estimation methods are subject to errors. An estimation method using a subset of a plant as a reference has been developed by NREL. Here, we evaluate a version of that method using data from several utility-scale plants in the Southeast US spanning up to a full year.","PeriodicalId":435386,"journal":{"name":"2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 49th Photovoltaics Specialists Conference (PVSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PVSC48317.2022.9938540","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
Flexible solar operation, where solar photovoltaic (PV) plants follow up- and down-regulation signals, has signifi-cant potential to improve integration of solar into power grids. To optimize operation, it is important to accurately estimate the potential maximum power output, or potential high limit (PHL), of a plant in real time during periods where output has been reduced. As the PHL cannot be directly measured while a plant is curtailed, and it is driven by highly variable weather and plant conditions, model-based estimation methods are subject to errors. An estimation method using a subset of a plant as a reference has been developed by NREL. Here, we evaluate a version of that method using data from several utility-scale plants in the Southeast US spanning up to a full year.