PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON ITSA

Guo Xinxin; Jiang Zhaoyang; Wang Zhong; Wang Chen; Xia Tianrui

doi:10.19912/j.0254-0096.tynxb.2024-0430

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 577-581. DOI: 10.19912/j.0254-0096.tynxb.2024-0430

Special Topics of Academic Papers at the 88th Annual Meeting of the China Association for Science and Technology

PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON ITSA

Guo Xinxin, Jiang Zhaoyang, Wang Zhong, Wang Chen, Xia Tianrui

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Abstract

In response to the problems of the traditional parameter identification approaches of solar cell model, such as complex structure, low identification accuracy, weak robustness and so on, a parameter identification method for the equivalent model of solar cell based on improved tree seed algorithm （ITSA） is proposed. A variable adapting gradually with the number of iterations is introduced, which significantly enhances the capability of local optimal convergence and global searching. An adaptive step factor is introduced to replace the random step factor for improving the optimum speed and reducing the optimization time in later stages of the algorithm. Applied to the parameter identification of the double-diode model,the root mean square error of ITSA is smaller than that of other algorithms and the fitting accuracy of identification results is high with the measured data, which shows that ITSA can effectively identify the parameters of solar cell model. The algorithm has high accuraty and convergence, making it practical for engineering applications.

Key words

parameter identification / solar cell / double-diode model / improved tree-seed algorithm / adaptive step factor

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Guo Xinxin, Jiang Zhaoyang, Wang Zhong, Wang Chen, Xia Tianrui. PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON ITSA[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 577-581 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0430

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