基于ISSA-RF算法的光伏阵列故障诊断研究

许桂敏; 宋雨航; 相里梦桥; 杨亚龙; 段晨东

doi:10.19912/j.0254-0096.tynxb.2024-1808

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (2) : 111-121. DOI: 10.19912/j.0254-0096.tynxb.2024-1808

基于ISSA-RF算法的光伏阵列故障诊断研究

许桂敏¹, 宋雨航¹, 相里梦桥², 杨亚龙^3,4, 段晨东¹

作者信息 +

RESEARCH ON FAULT DIAGNOSIS METHOD OF PHOTOVOLTAIC ARRAYS BASED ON ISSA-RF ALGORITHM

Xu Guimin¹, Song Yuhang¹, Xiangli Mengqiao², Yang Yalong^3,4, Duan Chendong¹

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文章历史 +

摘要

提出一种基于改进麻雀搜索（ISSA）优化随机森林（RF）的算法,用以提高光伏阵列故障诊断的准确率。首先,通过搭建光伏阵列模拟5种工况,提取故障向量,构造光伏阵列故障数据集。其次,通过测试函数对灰狼搜索算法（GWO）、粒子群算法（PSO）、ISSA和麻雀搜索算法（SSA）进行寻优对比,发现ISSA在平均值和标准差方面均优于其他算法,显示出更好的鲁棒性。然后,利用光伏阵列故障仿真数据集对ISSA-RF诊断模型进行性能分析,得到ISSA-RF方法整体准确率达到97.06%,比传统RF模型提高6.94个百分点。最后,结合实验室光伏阵列开路、短路、遮荫、老化和正常5种工况数据集对ISSA-RF诊断模型进行验证,证明所提基于ISSA-RF的光伏阵列故障诊断方法具有较高的分类效率和精度,其性能表现优于其他诊断模型。

Abstract

This paper presents a method based on an improved sparrow search algorithm （ISSA） and optimized random forest （RF） model, aiming to improve the accuracy of fault diagnosis in photovoltaic arrays. Firstly, the photovoltaic fault data set is constructed by building a photovoltaic array to simulate five fault conditions and extracting fault vectors. Secondly, the optimization comparison among sparrow search algorithm （ISSA）, grey wolf optimization （GWO）, particle swarm optimization （PSO） and ISSA by test function is performed. The results indicate that ISSA is better than other algorithms in terms of mean value and standard deviation, showing better robustness. Then, the performance of ISSA-RF is analyzed using the simulation data set of photovoltaic array fault. It can be found that the overall accuracy of ISSA-RF reaches 97.06%, which is 6.94 percentage points higher than the traditional RF model. Finally, the data set under five different working conditions including open circuit, short circuit, shade, aging and normal operation are collected for testing ISSA-RF. The research outcomes prove that this model has high classification efficiency and accuracy, and its performance is superior to other models.

导出引用

许桂敏, 宋雨航, 相里梦桥, 杨亚龙, 段晨东. 基于ISSA-RF算法的光伏阵列故障诊断研究[J]. 太阳能学报. 2026, 47(2): 111-121 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1808

Xu Guimin, Song Yuhang, Xiangli Mengqiao, Yang Yalong, Duan Chendong. RESEARCH ON FAULT DIAGNOSIS METHOD OF PHOTOVOLTAIC ARRAYS BASED ON ISSA-RF ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 111-121 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1808

中图分类号： TM914

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