基于改进哈里斯鹰优化算法的微电网容量优化配置

李圣清; 吴京航; 高泽华; 乔靖潇

doi:10.19912/j.0254-0096.tynxb.2025-0493

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 802-811. DOI: 10.19912/j.0254-0096.tynxb.2025-0493

基于改进哈里斯鹰优化算法的微电网容量优化配置

李圣清^1,2, 吴京航¹, 高泽华¹, 乔靖潇¹

作者信息 +

OPTIMAL CAPACITY CONFIGURATION OF MICROGRID CAPACITY BASED ON IMPROVED HARRIS HAWKS OPTIMIZATION ALGORITHM

Li Shengqing^1,2, Wu Jinghang¹, Gao Zehua¹, Qiao Jingxiao¹

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文章历史 +

摘要

为增强独立微电网的经济性和可靠性,得到微电网中各配置的最佳配比,进行基于改进哈里斯鹰优化算法的微电网容量优化配置研究。以年均综合成本为目标函数,综合考虑各约束条件和分时电价需求响应理论,构建风光柴储微电网配置模型和运行策略。针对哈里斯鹰优化算法在求解模型时易陷入局部收敛以及精度不足的问题,提出一种融合无限折叠迭代混沌映射（ICMIC）混沌映射、正弦余弦算法、纵横交叉算法和Levy飞行策略的改进哈里斯鹰优化算法。通过非零解测试函数,将改进哈里斯鹰优化算法与哈里斯鹰优化算法、灰狼优化算法和蚁狮优化算法进行测试对比,验证了改进哈里斯鹰优化算法具有更优的收敛性能。最后,选取某地区气象数据和负荷数据进行算例分析,求得年综合成本较其他3种算法分别降低10.71%、17.37%和7.92%,验证了改进哈里斯鹰优化算法的有效性。

Abstract

To enhance the economy and reliability of independent microgrids and obtain the optimal ratio of each configuration in the microgrid, research on the optimal capacity configuration of microgrids based on the improved Harris Hawks optimization algorithm is conducted. Taking the average annual comprehensive cost as the objective function, and comprehensively considering various constraints and the demand response theory of time-of-use electricity prices, the configuration model and operation strategy of the wind-solar-diesel-storage microgrid are constructed. Aiming at the problems that the Harris Hawks optimization algorithm is prone to local convergence and insufficient accuracy when solving models, an improved Harris Hawks optimization algorithm integrating ICMIC chaotic mapping, sine cosine algorithm, crisscross algorithm and Levy flight strategy is proposed. Through non-zero solution test function, the improved Harris Hawks optimization algorithm was tested and compared with the Harris Hawks optimization algorithm, the gray wolf optimization algorithm and the ant-lion optimization algorithm, verifying that the improved Harris Hawks optimization algorithm has better convergence performance. Finally, meteorological data and load data of a certain area were selected for case analysis. It was found that the annual comprehensive cost was reduced by 10.71%, 17.37% and 7.92% respectively compared with the other three algorithms, verifying the effectiveness of the improved Harris Hawks optimization algorithm.

导出引用

李圣清, 吴京航, 高泽华, 乔靖潇. 基于改进哈里斯鹰优化算法的微电网容量优化配置[J]. 太阳能学报. 2026, 47(7): 802-811 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0493

Li Shengqing, Wu Jinghang, Gao Zehua, Qiao Jingxiao. OPTIMAL CAPACITY CONFIGURATION OF MICROGRID CAPACITY BASED ON IMPROVED HARRIS HAWKS OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 802-811 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0493

中图分类号： TM73

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