一个创新的元启发算法用于光伏倾斜角度优化
Lingqi He1, Bin Zhao2,3, Fei Rong4
1Changsha University of Science and Technology, Changsha, 410114, China.
Scientific reports
|December 7, 2025
概括
一个新的混合算法,HMWOAIGWO,优化光伏倾斜角度,以更好地捕获太阳能. 这种方法提高了准确性和速度,提高了太阳辐射捕获率高达4%.
科学领域:
- 可再生能源工程可再生能源工程
- 计算智能是一种计算智能.
- 优化算法 优化算法
背景情况:
- 优化光伏 (PV) 倾斜角度对于最大限度地捕获太阳辐射至关重要,但传统方法面临着局部最佳和缓慢融合等挑战.
- 现有的优化技术经常与有限的人口多样性和融合速度作斗争,阻碍了高效的光伏系统性能.
研究的目的:
- 介绍HMWOAIGWO,一个新的混合元启发算法,集成改进的灰狼优化器 (IGWO) 和鱼优化算法 (WOA).
- 提高光伏倾斜角度在每日,每月和每年尺度上的优化,克服单个算法的局限性.
- 评估HMWOAIGWO的性能与基准函数和现实世界光伏优化问题的最先进算法对比.
主要方法:
- 通过结合IGWO和WOA来开发HMWOAIGWO,以改善人口多样性和融合.
- 在23个基准套件上测试了HMWOAIGWO,并对其他10个算法进行了CEC 2019测试.
- 在五个现实世界的优化问题上验证了性能,并将其应用于光伏系统,以优化倾斜角度.
主要成果:
- 在78%的测试案例中,HMWOAIGWO在33个基准函数中的19个实现了卓越的准确性,并在78%的测试案例中实现了前两位的融合速度.
- 该算法在100%的现实问题中显示出最低标准偏差,在60%的平均性能中表现优于竞争对手.
- 对光伏系统的应用导致了显著的太阳辐射捕获改进:4% (每日),1.76% (每月) 和0.96% (每年).
结论:
- HMWOAIGWO有效地平衡了勘探和开采,为复杂的优化任务提供了强大的解决方案.
- 统计验证证实了HMWOAIGWO提供的解决方案最佳性的显著改善.
- 该算法是通过优化倾斜角度来提高光伏系统的效率和性能的一个有希望的工具.
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