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Suitable mathematical model for the electrical characterization of different photovoltaic technologies: Experimental validation

机译：不同光伏技术电气表征的合适数学模型：实验验证

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Different photovoltaic technologies have achieved notable improvements in efficiency in recent years, allowing photovoltaic cells to convert a higher percentage of incident solar radiation into electrical energy. However, the search for new, more efficient technologies as well as the improvement of existing ones, remains the aim of researchers and manufacturers. New materials have been considered, requiring the development of more accurate mathematical models to simulate their behavior. This study focusses on the validation of a modified multidimension diode model to determine a suitable model for different photovoltaic technologies. This model includes m-diodes connected in series and u-strings of diodes in parallel, providing a reconfigurable diode network, which allows the determination of the optimal number of diodes in the equivalent electrical circuit based on manufacturer or experimental data. The guaranteed convergence particle swarm optimization algorithm was used to estimate the photovoltaic parameters of the modified multidimension diode model. The validation was carried out with six different photovoltaic technologies, namely polycrystalline silicon, mono crystalline silicon, amorphous silicon, copper indium selenide, heterojunction with intrinsic thin-layer, and cadmium sulfide/cadmium telluride. The results revealed that the modified multidimension diode model accurately reflects the behavior of different photovoltaic technologies with high performance, providing a good compromise between accuracy and computational cost. Specifically, the modified multidimension diode model, when compared to the single-diode model (most commonly used in literature), achieved up to 14% more accuracy for the photovoltaic technologies considered under this study. Furthermore, the mathematical models identified as most suitable for the photovoltaic technologies under study are suggested as references for future works.
机译：近年来，不同的光伏技术达到了显着的提高，允许光伏电池将更高百分比的入射太阳辐射转换成电能。但是，寻找新的更高效的技术以及现有的技术的改进仍然是研究人员和制造商的目标。已经考虑了新材料，要求开发更准确的数学模型来模拟其行为。本研究侧重于修改改进的多电极二极管模型，以确定不同光伏技术的合适模型。该模型包括并行地连接二极管的串联和U形二极管的M-二极管，提供可重构的二极管网络，其允许基于制造商或实验数据确定等效电路中的最佳二极管数。保证的收敛粒子群优化算法用于估计改进的多电极二极管模型的光伏参数。验证以六种不同的光伏技术，即多晶硅，单晶硅，无定形硅，硒化铜铟，含有内在薄层的异质结和硫化镉/碲化镉。结果表明，改进的多电极二极管模型精确地反映了具有高性能的不同光伏技术的行为，在精度和计算成本之间提供了良好的折衷。具体地，与单二极管模型（文献中最常用）相比，改进的多电极二极管模型（在文献中最常用）相比，在该研究下考虑的光伏技术的准确性高达14％。此外，鉴定为最适合于研究的光伏技术的数学模型被建议作为对未来作品的参考。

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