基于红外图像的太阳能光伏阵列故障分析  

FAULT ANALYSIS OF PHOTOVOLTAIC ARRAY BASED ON INFRARED IMAGE

作　　者：王培珍[1] 郑诗程[1] 

机构地区：[1]安徽工业大学电气信息学院,马鞍山243002

出　　处：《太阳能学报》2010年第2期197-202,共6页Acta Energiae Solaris Sinica

基　　金：教育部光伏系统工程研究中心开放基金项目(200506)

摘　　要：依据处于不同工作状态下太阳电池间存在明显温差这一特性,提出了基于红外图像分析的太阳能光伏阵列工作状态自动分析与识别的方案。该方案首先对光伏阵列的红外图像进行预处理与分析,提取可能的故障区域及区域的特征信息,综合考虑环境温度、照度、风力等环境因素的影响,采用信息融合与模糊推理的方法,实现了对光伏阵列中太阳电池工作状态的自动识别。研究结果表明,该方案能够准确地对运行于光伏系统中组件的正常、遮挡、老化损坏状态进行识别。According to the distinct temperature difference characteristic between solar cells under different operation states,a new analysis and recognizing approach for the photovoltaic array operation states was proposed based on the infrared image analysis in the paper.At first,the infrared images of photovoltaic arrays are pre-processed and analyzed; the abnormal areas and their features are abstracted.To deal with influences of some factors on the temporature of photovoltaic,such as environment temperature,wind speed and solar illumination,a fuzzy reasoning technique based on the data fusion is employed and the fault areas are recognized automatically.The research results show that the normal,shadowed and aging destroyed operation states of photovoltaic array in power system can be recognized accurately with the proposed approach.

关 键 词：光伏阵列 红外图像 模糊推理 故障分析 

分 类 号：TM914[电气工程—电力电子与电力传动]