OPTIMIZATION OF A HELIOSTAT FIELD LAYOUT USING ADAPTIVE GRAVITY SEARCH ALGORITHM

Gao Bo; Liu Jianxing; Sun Hao; Liu Erlin

doi:10.19912/j.0254-0096.tynxb.2021-0397

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (10) : 119-125. DOI: 10.19912/j.0254-0096.tynxb.2021-0397

OPTIMIZATION OF A HELIOSTAT FIELD LAYOUT USING ADAPTIVE GRAVITY SEARCH ALGORITHM

Gao Bo, Liu Jianxing, Sun Hao, Liu Erlin

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Abstract

To solve the problem of heliostat field layout optimization in tower CSP （Concentrating Solar Power） station, a method based on AGSA （Adaptive Gravity Search Algorithm） is proposed. According to the Campo layout rules, a dense initial heliostat field 1.5 times larger than the target heliostat field is established,and the radius of each row of heliostats is used as an input variable and the annual average efficiency is used as the evaluation criterion for the optimal layout of the heliostat field. In addition, a dynamic adjustment factor α is introduced into the gravitational search algorithm, which improves the algorithm's ability to solve high-dimensional search problems. Finally,taking the heliostat field of Gemasolar in Sevilla as an example to optimize the layout, and the results have suggested that the heliostat field optimized by the AGSA has a higher average annual efficiency.

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tower solar thermal power / heliostats / optimization / adaptive gravity search algorithm

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Gao Bo, Liu Jianxing, Sun Hao, Liu Erlin. OPTIMIZATION OF A HELIOSTAT FIELD LAYOUT USING ADAPTIVE GRAVITY SEARCH ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(10): 119-125 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0397

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