Advancing Parameter Extraction for Solar Photovoltaic Cells: A Novel Approach Using Differential Evolution Algorithm

Solar photovoltaic systems are gaining popularity as a clean energy technology. However, accurately identifying the parameters of solar cells remains a challenging task. Researchers are actively working on modeling and simulating photovoltaic systems to overcome this challenge, despite the numerous methods proposed in scientific literature. This article presents a new method for extracting parameters from photovoltaic solar cells, addressing the lack of information provided by manufacturers. The proposed approach utilizes the Differential Evolution algorithm, outperforming existing techniques based on the same algorithm. By improving parameter extraction accuracy, this method enhances the modeling and simulation of solar cells, leading to optimized design and performance of solar energy systems. Overall, the study introduces an effective solution for parameter extraction, contributing to advancements in solar energy technology.