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, monocrystalline 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.

近年来，不同的光伏技术在效率上取得了显着改善，使光伏电池可以将入射太阳辐射的较高百分比转换为电能。然而，寻找新的，更有效的技术以及对现有技术进行改进仍然是研究人员和制造商的目标。已经考虑了新材料，需要开发更精确的数学模型来模拟它们的行为。这项研究的重点是验证改进的多维二极管模型，以确定适用于不同光伏技术的模型。该模型包括串联的m个二极管和u个-并联二极管串，提供可重新配置的二极管网络，该网络可根据制造商或实验数据确定等效电路中的最佳二极管数量。使用保证的收敛粒子群优化算法来估计改进的多维二极管模型的光伏参数。验证使用六种不同的光伏技术进行，即多晶硅，单晶硅，非晶硅，硒化铜铟，具有本征薄层的异质结以及硫化镉/碲化镉。结果表明，改进的多维二极管模型可以准确反映具有高性能的不同光伏技术的行为，在准确性和计算成本之间提供了一个很好的折衷方案。具体而言，与单二极管模型（文献中最常用的模型）相比，改进的多维二极管模型使本研究中考虑的光伏技术的精度提高了14％。此外，建议将最适合研究中的光伏技术的数学模型作为未来工作的参考。