Identification of PV solar cells and modules parameters by combining statistical and analytical methods

被引:59
|
作者
Wolf, P. [1 ]
Benda, V. [1 ]
机构
[1] Czech Tech Univ, Dept Electrotechnol, CR-16635 Prague, Czech Republic
关键词
Silicon solar cells; Parameter estimation; Multiple linear regression; One- and two-diode model;
D O I
10.1016/j.solener.2013.03.018
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, we discuss the proposed method of identifying the parameters of photovoltaic cells/modules with the help of curve fitting by using both analytical and statistical methods. Increased computing power in recent years enables us to find fast and accurate solutions to non-linear equations and allows a wide range of use of this method. Evaluation was done on computed I-V curves with chosen model parameters and also on samples of mono-crystalline silicon cells. In the latter case the samples were measured with a Pasan cell tester IIc under variable conditions, model parameters were calculated and the model was compared with measured data. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:151 / 157
页数:7
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