可再生能源2018，Vol.36Issue(6)：842-849,8.
光伏发电功率预测斜面辐射组合模型的评估研究
Evaluation study on combination models of solar irradiance on inclined surfaces in the PV power forecasting
摘要
Abstract
The accurate and reliable PV array solar irradiance data is the basis of PV power forecasting. In this paper, the PV array solar irradiance data is obtained by the calculation of the combination of model of solar irradiance on inclined surfaces. To analyze the effect different combination models on PV power forecasting results, the PV forecasting model was established. Meanwhile, we explored 12 combination models by combining three decomposition models with four transposition models, which were used to predict the PV power. The results show that combinations which included the Liu-Jordan transposition model agreed better with the measured data, and Erbs+Liu-Jordan model had higher forecasting accuracy. The estimation result of ground reflected irradiance is high when using the King combination model, and the forecasting result showed low accuracy.关键词
直散分离/斜面辐射/组合模型/太阳辐射量/功率预测Key words
decomposition/ transposition/ combination model/ global horizontal irradiance/power forecasting分类
能源科技引用本文复制引用
魏嫽嫽,崔承刚,杨宁,陈辉..光伏发电功率预测斜面辐射组合模型的评估研究[J].可再生能源,2018,36(6):842-849,8.基金项目
国家自然科学基金青年科学基金项目(51607111) （51607111）
上海市科委地方院校能力建设项目(15160500800). （15160500800）
