基于总最小二乘法的光伏参数提取新方法的灵敏度分析

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
Oumaima Mesbahi, M. Tlemçani, F. Janeiro, Abdeloawahed Hajjaji, K. Kandoussi
{"title":"基于总最小二乘法的光伏参数提取新方法的灵敏度分析","authors":"Oumaima Mesbahi, M. Tlemçani, F. Janeiro, Abdeloawahed Hajjaji, K. Kandoussi","doi":"10.24425/mms.2021.137707","DOIUrl":null,"url":null,"abstract":"The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be operating at their optimal point. To understand the behaviour, numerically simulate the characteristics and identify the optimal operating point of a photovoltaic cell, the parameters of an equivalent electrical circuit must first be identified. The aim of this work is to develop a total least-squares based algorithm which can identify those parameters from the output voltage and current measurements, taking into consideration the uncertainties on both measured quantities. This work presents a comparative study of the Ordinary Least Squares (OLS) and Total Least Squares (TLS) approaches to the estimation of the parameters of a photovoltaic cell.","PeriodicalId":18394,"journal":{"name":"Metrology and Measurement Systems","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Sensitivity analysis of a new approach to photovoltaic parameters extraction based on the total least squares method\",\"authors\":\"Oumaima Mesbahi, M. Tlemçani, F. Janeiro, Abdeloawahed Hajjaji, K. Kandoussi\",\"doi\":\"10.24425/mms.2021.137707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be operating at their optimal point. To understand the behaviour, numerically simulate the characteristics and identify the optimal operating point of a photovoltaic cell, the parameters of an equivalent electrical circuit must first be identified. The aim of this work is to develop a total least-squares based algorithm which can identify those parameters from the output voltage and current measurements, taking into consideration the uncertainties on both measured quantities. This work presents a comparative study of the Ordinary Least Squares (OLS) and Total Least Squares (TLS) approaches to the estimation of the parameters of a photovoltaic cell.\",\"PeriodicalId\":18394,\"journal\":{\"name\":\"Metrology and Measurement Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metrology and Measurement Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.24425/mms.2021.137707\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INSTRUMENTS & INSTRUMENTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metrology and Measurement Systems","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.24425/mms.2021.137707","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 3

摘要

光伏组件的退化及其随后的性能损失对总能源发电潜力产生严重影响。由于面板可能无法在最佳位置运行,因此缺乏有关输出功率的实时信息会导致额外的损失。为了理解其行为,数值模拟其特性并确定光伏电池的最佳工作点,必须首先确定等效电路的参数。这项工作的目的是开发一种基于总最小二乘的算法,该算法可以从输出电压和电流测量中识别这些参数,同时考虑到两个测量量的不确定性。本文介绍了普通最小二乘(OLS)和总最小二乘(TLS)方法对光伏电池参数估计的比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity analysis of a new approach to photovoltaic parameters extraction based on the total least squares method
The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be operating at their optimal point. To understand the behaviour, numerically simulate the characteristics and identify the optimal operating point of a photovoltaic cell, the parameters of an equivalent electrical circuit must first be identified. The aim of this work is to develop a total least-squares based algorithm which can identify those parameters from the output voltage and current measurements, taking into consideration the uncertainties on both measured quantities. This work presents a comparative study of the Ordinary Least Squares (OLS) and Total Least Squares (TLS) approaches to the estimation of the parameters of a photovoltaic cell.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Metrology and Measurement Systems
Metrology and Measurement Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
10.00%
发文量
0
审稿时长
6 months
期刊介绍: Contributions are invited on all aspects of the research, development and applications of the measurement science and technology. The list of topics covered includes: theory and general principles of measurement; measurement of physical, chemical and biological quantities; medical measurements; sensors and transducers; measurement data acquisition; measurement signal transmission; processing and data analysis; measurement systems and embedded systems; design, manufacture and evaluation of instruments. The average publication cycle is 6 months.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信