IMPROVED GREY WOLF OPTIMIZATION ALGORITHM FOR HELIOSTATS FIELD LAYOUT

Xie Qiyue; Liu Guangshuai; Liu Yao; Shen Zhongli; Fu Qiang; Zhou Yucai

doi:10.19912/j.0254-0096.tynxb.2023-1211

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 394-400. DOI: 10.19912/j.0254-0096.tynxb.2023-1211

IMPROVED GREY WOLF OPTIMIZATION ALGORITHM FOR HELIOSTATS FIELD LAYOUT

Xie Qiyue, Liu Guangshuai, Liu Yao, Shen Zhongli, Fu Qiang, Zhou Yucai

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Abstract

A method for optimizing the layout of the heliostat field in tower solar thermal power plants based on the improved gray wolf optimization algorithm is proposed. This improved algorithm combines the gray wolf optimization algorithm with memory, local search and evolutionary operators to enhance the global nature and search accuracy of the algorithm. Taking the Gemasolar solar thermal power plant in Spain as an example to verify the effectiveness of the algorithm, after using the improved gray wolf optimization algorithm to optimize the layout of the heliostat field in the power station, the optical efficiency of the heliostat field increased by 5%, which proves that the heliostat field layout has a higher average annual optical efficiency after being optimized by the improved gray wolf algorithm.

Key words

heliostats / concentrated solar power / optimization / improved grey wolf algorithm / heliostat field layout / optical efficiency

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Xie Qiyue, Liu Guangshuai, Liu Yao, Shen Zhongli, Fu Qiang, Zhou Yucai. IMPROVED GREY WOLF OPTIMIZATION ALGORITHM FOR HELIOSTATS FIELD LAYOUT[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 394-400 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1211

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