Experimental data for Mismatching Faults of Photovoltaic Modules

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.

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。