基于数据驱动的山地电站光伏组串融合模型

DATA-DRIVEN PHOTOVOLTAIC STRING FUSION MODEL OF MOUNTAIN POWER PLANT

以历史发电数据和历史环境数据为基础,筛选晴朗天气样本,利用太阳辐照模型将平面辐照度转换为不同方位角和倾角组合下的斜面辐照度。然后,通过计算光伏组串的理想电流曲线,并结合不同角度下组串电流输出曲线峰值的差异性特征,进行光伏组串理想输出曲线与实际输出曲线的峰值匹配。根据多次匹配结果,综合判断光伏组串的倾角和方位角。在太阳电池双二极管模型的基础上,引入倾角和方位角特征数据作为输入,构建适用于山地电站的光伏组串融合模型。通过实验验证该模型可准确地在线模拟山地电站光伏组串的输出特征曲线,具有显著的实际应用价值。

In this study,leveraging historical power generation data and environmental data,a meticulous selection of clear-sky weather samples was conducted.Employing the solar irradiation model,horizontal irradiance was converted into the inclined irradiance under various combinations of azimuth and tilt angles.Subsequent to this,the ideal current curve of the PV string was calculated.According to the difference characteristics of the peak value of the string current output curve at different angles,the peaks between the ideal and actual current output curves were matched.Based on multiple matching outcomes,a comprehensive assessment of the PV string's tilt angle and azimuth was effectively achieved.Building upon the foundation of the dual-diode solar cell model,specific angle data encompassing both tilt and azimuth were introduced as pivotal inputs,thereby establishing a PV string fusion model for mountainous power plants.Rigorously validated through experimental verification,this model can accurately simulate the output characteristic curves of PV strings of mountainous power plants online,thus further demonstrating its significant practical utility.