Parameter identification of solar cell model based on Jaya-DA algorithm

被引：0
|
作者：
Zeng Y. [1 ]
Wang L. [1 ]
Huang C. [1 ]
机构：
[1] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 02期
关键词：
Dragonfly algorithm; Jaya algorithm; Model; Parameter identification; Solar cells;
D O I：
10.19912/j.0254-0096.tynxb.2020-0262
中图分类号：
学科分类号：
摘要：
In order to improve the accuracy of solar cell model parameter identification, this paper proposed an identification method based on the combination of Jaya algorithm and dragonfly algorithm in which using Jaya algorithm to carry out preliminary global search and combining with dragonfly algorithm to carry out local search for the optimal solution, to improve the convergence accuracy of the algorithm. The results show that the root mean square error of the solar cell model obtained by Jaya-Da algorithm is 9.861 × 10-4. Compared with Jaya algorithm, dragonfly algorithm, artificial bee colony algorithm and particle swarm algorithm, the root mean square error of this method is smaller and it can be used to identify the solar cell model parameters more accurately. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
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页码：198 / 202
页数：4
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