基于黄金搜索算法的硅基光伏组件电气参数识别

朱显辉; 刘进; 马雅婷; 钱文丽; 贾溢嵩

doi:10.19912/j.0254-0096.tynxb.2025-0492

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 494-501. DOI: 10.19912/j.0254-0096.tynxb.2025-0492

基于黄金搜索算法的硅基光伏组件电气参数识别

朱显辉, 刘进, 马雅婷, 钱文丽, 贾溢嵩

作者信息 +

ELECTRICAL PARAMETER IDENTIFICATION OF SILICON-BASED PHOTOVOLTAIC MODULE BASED ON GOLDEN SEARCH ALGORITHM

Zhu Xianhui, Liu Jin, Ma Yating, Qian Wenli, Jia Yisong

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文章历史 +

摘要

针对传统算法在光伏组件的参数辨识中的精度低、易陷入局部最优的问题,构建基于黄金搜索算法的硅基光伏组件的参数辨识模型。以粒子群算法和正余弦算法融合的寻优策略提升算法的全局搜索能力,同时引入变换算子动态平衡算法的前期全局搜索和后期局部开发能力,在保证运算效率的同时可提高光伏组件参数识别模型的精度、降低陷入局部最优的风险。与粒子群算法、差分进化算法、战争策略算法和天鹰算法进行对比分析,结果表明辨识结果的均方根误差均低于3%,平均相对误差均小于1.4%,论证所提模型的有效性和准确性。

Abstract

A parameter identification model for silicon-based photovoltaic module based on the Golden Search Algorithm was constructed to address the issues of low accuracy and susceptibility to local optima in traditional algorithms. The optimization strategy that combines particle swarm optimization algorithm and sine cosine algorithm enhances the global search capability of the algorithm, while introducing transformation operators to dynamically balance the early global search and later local development capabilities of the algorithm. While ensuring computational efficiency, the proposed method improves the accuracy of the photovoltaic module parameter identification model and reduces the risk of falling into local optima. Compared with particle swarm optimization algorithm, differential evolution algorithm, war strategy algorithm, and aquila Optimizer, the results showed that the root mean square error of the identification results in this paper was less than 3%, and the average relative error was less than 1.4%, demonstrating the effectiveness and accuracy of the proposed model.

导出引用

朱显辉, 刘进, 马雅婷, 钱文丽, 贾溢嵩. 基于黄金搜索算法的硅基光伏组件电气参数识别[J]. 太阳能学报. 2026, 47(7): 494-501 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0492

Zhu Xianhui, Liu Jin, Ma Yating, Qian Wenli, Jia Yisong. ELECTRICAL PARAMETER IDENTIFICATION OF SILICON-BASED PHOTOVOLTAIC MODULE BASED ON GOLDEN SEARCH ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 494-501 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0492

中图分类号： TM615

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