摘要
以局部阴影条件下的光伏组件为研究对象,通过对光伏组件不同位置进行遮挡的实验,得到不同阴影条件下的阴影面积,并对所得数据进行对比分析。利用图像增强、边缘检测等图像处理技术来识别阴影区,其中由于光伏板上表面条纹的影响,采用中值滤波去噪,且通过连通区域法计算出光伏板上阴影面积和百分比。实验结果表明在实验空间d1=65 cm,d2=150 cm内,边缘检测法可准确分割阴影,快速准确地计算出阴影面积,不会因膨胀使得阴影面积增大,致使数据不准确。精确的阴影面积更有利于研究光伏的输出特性,降低光伏阵列最大功率点追踪的难度。
Taking the photovoltaic component under the shadow of local shadow as the object of study,the experiments on the shading of different parts of the PV module are tested. It gets the shadow area under different shadow conditions,comparing and analysing the data obtained. The paper uses image processing technology to identify shadow areas,which includes image enhancement,edge detection and so on. Because of the influence of photovoltaic panels on the fringes of the surface,the paper uses the median filter to remove noise,and calculates shadow area and the percentage of photovoltaic panelsthroughtheconnectedregion. Experimental results show that in the experimental space which is set at 65 cm to 150 cm away from the camera,the edge detection method can segment the shadow accurately,and calculate the shadow area quickly and accurately. It does not increase the shadow area because of the expansion,resulting in inaccurate data. The accurate shadow area is more conducive to the study of photovoltaic output characteristics,reducing the difficulty of maximum power point tracking of photovoltaic arrays.
作者
王建丽
刘立群
张聪明
Wang Jianli;Liu Liqun;Zhang Congming(Collage of Electronics and Information Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2020年第2期284-289,共6页
Acta Energiae Solaris Sinica
基金
山西省应用基础研究项目(201601D011058)
煤矿电气设备与智能控制山西省重点实验室开放课题(MEI201603)。
关键词
局部阴影
光伏组件
图像处理
边缘检测算法
partial shade
photovoltaic cells
image processing
edge detection algorithm
