Abstract
Photovoltaic (PV) systems are becoming increasingly significant because they can convert solar energy into electricity. The conversion efficiency is related to the PV models’ parameters, so it is crucial to identify the parameters of PV models. Recently, various metaheuristic methods have been proposed to identify the parameters, but they cannot provide sufficient accurate and reliable performance. To address this problem, this paper proposes a spiral-based chaos chicken swarm optimization algorithm (SCCSO) including three strategies: (1) the information-sharing strategy provides the latest information of the roosters for searching global optimal solution, beneficial to improve the exploitation ability; (2) the spiral motion strategy can enable hens and chicks to move toward their corresponding targets with a spiral trajectory, improving the exploration ability; and (3) a self-adaptive-based chaotic disturbance mechanism is introduced around the global optimal solution to generate a promising solution for the worst chick at each iteration, thereby improving the convergence speed of the chicken flock. Besides, SCCSO is used for identifying different PV models such as the single-diode, the double-diode, and PV module models. Comprehensive analysis and experimental results show that SCCSO provides better robustness and accuracy than other advanced metaheuristic methods.
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This work was supported in part by the National Natural Science Foundation of China under Grants 61863028, 81660299, and 61503177, and in part by the Science and Technology Department of Jiangxi Province of China under Grants 20204ABC03A39, 20161ACB21007, 20171BBE50071, and 20171BAB202033.
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ML was involved methodology, software, formal analysis, writing—original draft. CL helped in funding acquisition, writing—review and editing, supervision. ZH contributed to methodology, validation, writing—review and editing. JH was involved in conceptualization, writing—review and editing. GW helped in writing—review and editing, supervision. PXL contributed to writing—review and editing, supervision.
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Li, M., Li, C., Huang, Z. et al. Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models. Soft Comput 25, 12875–12898 (2021). https://doi.org/10.1007/s00500-021-06010-x
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DOI: https://doi.org/10.1007/s00500-021-06010-x