TVACPSO-assisted analysis of the effects of temperature and irradiance on the PV module performances

Yujian Gong, Zuo Wang, Zeyu Lai and Minlin Jiang

Energy, 2021, vol. 227, issue C

Abstract: The time-varying acceleration coefficients particle swarm optimization method is employed to extract the physical parameters of the single diode PV model. Under the condition of low radiation and high temperature, there is a slight deviation between the calculated and the published data, but this model still has good accuracy in most ranges. The time-varying mechanism is introduced to mitigate the premature convergence problem and establish an appropriate tradeoff between the explorative and exploitative capabilities. The method provides the lowest cost function in the extraction of parameters. Although the experimental conditions of the curves cannot fully represent the working environment of the photovoltaic module, the validity of the model can be verified by comparing the calculated curves with the released curves. Analytical solutions of short-circuit current, open-circuit voltage, maximum power point current and voltage are also derived by the Lambert W function. The variation of maximum power, fill factor, energy efficiency, exergy efficiency and power conversion efficiency of the multi-crystalline and thin-film modules in the range of 10–70 °C were studied. The electrical performance of PV modules is more sensitive to temperature than irradiance. The output performance of thin-film modules is better than crystalline modules at high temperature conditions.

Keywords: Photovoltaic module; Mathematical model; Particle swarm optimization; Parameter extraction; Solar irradiance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:227:y:2021:i:c:s0360544221006393

DOI: 10.1016/j.energy.2021.120390

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