摘要
基于20kW晶硅户外试验电站,实现了对光伏方阵开路电压Voc、短路电流Isc、最大功率点功率Pm、最大功率点电压Vm、最大功率点电流Im阳辐照度以及环境温度等参量的自动测试记录.将实验测量的7个不同条件下的I-V电学参量外推广到标准光条件下,对常规双二级管模型进行补正,成功预测任意选定(除上述7条I-V曲线之外)的光照和温度条件下的功率输出,偏差小于2.73%.实验表明,该模型对上海户外环境条件下的电站发电规律具有较好的表述,对于电站电力预测具有参考价值.
Based on MATLAB software and iterative method, a kind of trial-error method for different natural environments （NET） is proposed. Solar module temperature, solar radiation and their effects on series resistance are taken into account in this model. Nine I-V curves are measured under natural environmental conditions to predict the model parameters under STC （i. e. open voltage Vocrefi, short current Iscrefi, maximum voltage Vmrefi, maximum current I mrefi, maximum power Pmrefi,i= 1-7） . Increasing the number of the measured I-V curves may help for obtaining more accurate real value of Vocref, Iscrcf, Vmref, Imref, Pmref under STC. In order to test the validation of this model, the proposed model is used to evaluate the solar energy output of the module under a condition except for the nine I-V curves with nine different natural conditions. The deviation of the output of the calculated Pmc from the measured output PInE under the investigated condition （G=647 W/m2, T=67.7℃） turns out to be 2.73%, which means that this kind of trial-error model can be used to design PV modules and predict the yield of the module under arbitrary natural environment.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2013年第9期1077-1082,共6页
Acta Photonica Sinica
基金
上海AM基金项目(No.0952067.74700)
上海市自然科学基金(No.09ZR1437500)
中国科学院重要方向项目(No.KGCX2-YW-399+1)
中国科学院院地合作项目(No.YDJDBNJ-2012-027)资助
关键词
模组
电量预测
模型
修正
PV module
Power prediction
Model
Correction
