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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (10): 119-125.DOI: 10.19912/j.0254-0096.tynxb.2021-0397

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基于自适应引力搜索算法的定日镜场优化布置

高博, 刘建兴, 孙浩, 刘二林   

  1. 兰州交通大学机电工程学院,兰州 730070
  • 收稿日期:2021-04-14 出版日期:2022-10-28 发布日期:2023-04-28
  • 通讯作者: 高博(1979——),男,博士、副教授,主要从事塔式光热电站定日镜的研制和布置方面的研究。gaobo@mail.lzjtu.cn
  • 基金资助:
    国家重点研发计划(SQ2020YFF0413296)

OPTIMIZATION OF A HELIOSTAT FIELD LAYOUT USING ADAPTIVE GRAVITY SEARCH ALGORITHM

Gao Bo, Liu Jianxing, Sun Hao, Liu Erlin   

  1. School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2021-04-14 Online:2022-10-28 Published:2023-04-28

摘要: 针对塔式太阳能热发电电站中定日镜场优化布置问题,提出一种基于自适应引力搜索算法的定日镜场优化布置方法。以Campo布置规则为基础建立比目标定日镜场大1.5倍的密集型初始镜场,将定日镜所在环的半径作为输入变量并将年均效率作为镜场优化布置的评价标准。通过在引力搜索算法中引入动态调整因子α,可提高算法在高维搜索问题方面的求解能力。最后以塞维利亚Gemasolar电站的定日镜场为例进行优化布置,证明使用自适应引力搜索算法优化后的定日镜场具有更高的年均效率。

关键词: 塔式太阳能热发电, 定日镜, 优化设计, 自适应引力搜索算法

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.

Key words: tower solar thermal power, heliostats, optimization, adaptive gravity search algorithm

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