Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models

被引：0
|
作者：
Wang, Junwei [1 ]
Ji, Yan [1 ]
Liu, Haibo [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Parameter estimation; Photovoltaic cell; Iterative identification; Gradient search; Multi-innovation identification; PARAMETER-ESTIMATION; RECURSIVE-IDENTIFICATION; BILINEAR-SYSTEMS; HAMMERSTEIN SYSTEMS; DYNAMIC-SYSTEMS; STATE; EXTRACTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study presents the parameter estimation of single diode photovoltaic cell models. To identify parameters more simply and effectively, a gradient-based iterative identification algorithm and a multi-innovation gradient-based iterative identification algorithm are proposed for single-diode photovoltaic cell models by using the negative gradient search and the multi-innovation identification theory. Finally, the scheme is analyzed through a large number of statistical analysis results, and it shows the effectiveness of the proposed algorithms.
引用
收藏
页码：1166 / 1171
页数：6
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