闫旭斌. 光伏电站太阳辐射量多元回归预测方法研究[J]. 山西电力, 2024, (1): 46-50.
引用本文: 闫旭斌. 光伏电站太阳辐射量多元回归预测方法研究[J]. 山西电力, 2024, (1): 46-50.
YAN Xu-bin. Research on Multiple Regression Prediction Method for Solar Radiation Quantity of Photovoltaic Power Station[J]. Shanxi Electric Power, 2024, (1): 46-50.
Citation: YAN Xu-bin. Research on Multiple Regression Prediction Method for Solar Radiation Quantity of Photovoltaic Power Station[J]. Shanxi Electric Power, 2024, (1): 46-50.

光伏电站太阳辐射量多元回归预测方法研究

Research on Multiple Regression Prediction Method for Solar Radiation Quantity of Photovoltaic Power Station

  • 摘要: 基于多元逐步回归方法建立了地面太阳辐射量的预测模型。首先,利用中国气象科学数据共享服务网站数据库中1993年—2013年的数据,分析了太阳辐射量与日照时长的相关关系。其次,采用多元逐步回归分析方法,得到了北京太阳总辐射量多元回归模型,并且建立了从总辐射量中提取散射辐射量的单变量回归模型。最后,将模型的计算结果与实际数据进行对比,验证了所提出模型的有效性和精确性,为光伏电站的规划设计、建模仿真和功率预测等研究提供参考。

     

    Abstract: In this paper,the prediction model of surface solar radiation is established based on the multiple stepwise regression method. First,with the data from 1993 to 2013 in the database of the China Meteorological Science Data Sharing Service,the correlation between the amount of solar radiation and the duration of sunshine is analyzed. And then,with multiple stepwise regression analysis,the multiple regression models used to forecast the solar radiation exposure are obtained. Furthermore,a univariate regression model is established to extract the scattered radiation from the total radiation. Finally,the calculation results of the model are compared with the actual data to validate the effectiveness and accuracy of the proposed model,which can provide reference for the research of planning and design,modeling and simulation and power prediction of photovoltaic(PV) power stations.

     

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