| 基于级联随机森林的光伏故障诊断模型研究 |
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| 引用本文： | 叶进,卢泉,王钰淞,常生强,陈洪雨,胡亮青. 基于级联随机森林的光伏故障诊断模型研究[J]. 太阳能学报, 2021, 0(3): 358-362 |
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| 作者姓名： | 叶进 卢泉 王钰淞 常生强 陈洪雨 胡亮青 |
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| 作者单位： | 广西大学计算机与电子信息学院;广西大学电气工程学院;石家庄科林电气有限公司 |
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| 基金项目： | 国家自然科学基金(61762030,51567002)。 |
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| 摘 要： | 针对环境气象监测数据与光伏电站的历史数据,提出一种基于级联随机森林的光伏组件在线故障诊断模型,从模型的特征变量分析、真实数据集的预处理、模型训练及使用3个方面进行详细描述,最后通过实验验证该方法的有效性和准确性,证明其对光伏电站智能在线故障诊断具有较好的使用价值.
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| 关 键 词： | 光伏阵列 机器学习 随机森林 故障诊断 智能运维 |
RESEARCH ON PV FAULT DIAGNOSIS MODEL BASED ON CASCADED RANDOM FOREST |
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| Ye Jin,Lu Quan,Wang Yusong,Chang Shengqiang,Chen Hongyu,Hu Liangqing. RESEARCH ON PV FAULT DIAGNOSIS MODEL BASED ON CASCADED RANDOM FOREST[J]. Acta Energiae Solaris Sinica, 2021, 0(3): 358-362 |
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| Authors: | Ye Jin Lu Quan Wang Yusong Chang Shengqiang Chen Hongyu Hu Liangqing |
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| Affiliation: | (School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China;College of Electrical Engineering,Guangxi University,Nanning 530004,China;Shijiazhuang Kelin Electric Co.,Ltd.,Shijiazhuang 050000,China) |
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| Abstract: | Being aimed at environmental meteorological monitoring and the history data of photovoltaic plant,we put forward an on-line fault diagnosis of photovoltaic components based on cascaded random forest. The characteristic description insists of three aspect:characteristic variable analysis,real data set preprocessing,model training and application. Experiment results show the effectiveness and accuracy of our method. This sample is of good reference value for on-line fault diagnosis of intelligent photovoltaic power station. |
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| Keywords: | photovoltaic array machine learning random forest fault analysis operations management |
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