PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON JAYA-DA ALGORITHM

Zeng Yijie; Wang Long; Huang Chao

doi:10.19912/j.0254-0096.tynxb.2020-0262

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (2) : 198-202. DOI: 10.19912/j.0254-0096.tynxb.2020-0262

PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON JAYA-DA ALGORITHM

Zeng Yijie, Wang Long, Huang Chao

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Abstract

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.

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solar cells / model / parameter identification / Jaya algorithm / dragonfly algorithm

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Zeng Yijie, Wang Long, Huang Chao. PARAMETER IDENTIFICATION OF SOLAR CELL MODEL BASED ON JAYA-DA ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 198-202 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0262

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