遇见数据集

Experimental data for Mismatching Faults of Photovoltaic Modules

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doi.org2024-11-20 更新2025-03-26 收录
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This dataset collects and classifies mismatching failures in solar panels, focusing on three main types: partial shading, discoloration, and cracking. The panels, SP090P Solar Plus Energy and HYBRYTEC-M5-30/12, were subjected to testing under three distinct scenarios: dirty surfaces, clean surfaces, and partial shading. For each fault condition, voltage and current measurements are included, along with thermographic images, allowing for a comprehensive analysis of the impact of these mismatches on panel performance. This database is designed to support investigations and mitigation strategies for PV system failures. The dataset is divided into raw data and processed data. The time series of electrical data for each panel and each condition are saved using matlab .mat format, SVG images of the I-V curves are also included. Thermographic images are included in IS2 format (viewable using Fluke Connect Desktop), as well as CSV matrices of the temperature quantities.

本数据集收集并分类了太阳能光伏板的失配故障,重点涵盖三类典型故障:局部遮阴、色泽劣变与裂纹损伤。本次测试采用的光伏板型号为SP090P Solar Plus Energy与HYBRYTEC-M5-30/12,测试场景共分为三类:表面脏污、表面洁净及局部遮阴。针对每种故障工况,数据集均包含电压与电流测量数据及热成像图像,可用于全面分析此类失配故障对光伏板性能的影响。本数据库旨在支撑光伏(Photovoltaic)系统故障的调研与缓解策略制定工作。本数据集分为原始数据与处理后数据两大类别。每种光伏板在各工况下的电气数据时序均以MATLAB的.mat格式存储,同时包含电流-电压(I-V)曲线的可缩放矢量图形(Scalable Vector Graphics,SVG)图像。热成像图像采用IS2格式存储(可通过Fluke Connect Desktop软件查看),同时附带温度数据的CSV矩阵文件。

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doi.org
搜集汇总
背景与挑战
背景概述
该数据集专注于太阳能光伏组件的失配故障,收集并分类了部分阴影、变色和开裂三种主要故障类型,针对SP090P Solar Plus Energy和HYBRYTEC-M5-30/12两种面板在脏污表面、清洁表面和部分阴影三种场景下的测试数据,包括电压、电流测量值、热成像图像和I-V曲线。其特点是多类型故障、多场景测试和多样化数据格式(如.mat、SVG、IS2和CSV),旨在支持光伏系统故障的调查和缓解策略研究。
以上内容由遇见数据集搜集并总结生成
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