| Citation: | OUYANG C T，HUANG Z W，LIU Y J，et al. Parameter identification of solar cell model based on RCJAYA algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（7）：2133-2140 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0576
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A JAYA algorithm based on the ranking probability quantization mechanism and chaotic perturbation (RCJAYA) is proposed as a discrimination approach to increase the precision and accuracy of the intelligent optimization algorithm to detect solar cell parameters.The RCJAYA algorithm selects different ways to update individuals according to the ranking probability to balance the local and global search ability and maintain the population diversity; chaotic perturbation is applied to the optimal individuals to discover a better solution. The replacement strategy is used to update the stagnant individuals and improve the performance of the algorithm. When compared to the five algorithms such as JAYA, the root mean square error of the current of the single and double diodes of solar cells achieved by the RCJAYA algorithm is 9.8602×10−4 A and 9.8258×10−4 A, respectively. The results show that the RCJAYA algorithm has more advantages. The simulated current is calculated according to the identification results compared with the measured current, and the average error is 0.00084 A and 0.00082 A for single and double diodes, respectively, which indicates that the parameter values identified by RCJAYA are accurate and reliable.
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