山西电力2024,Issue(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

闫旭斌
山西电力2024,Issue(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

闫旭斌1
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作者信息

  • 1. 国网山西省电力公司太原供电公司,山西 太原 030001
  • 折叠

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.

关键词

光伏电站/太阳辐射/散射提取/气象因素/多元回归

Key words

photovoltaic power station/solar radiation/scattering extraction/meteorological factor/multiple regression

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出版年

2024
山西电力
山西电力科学研究院,山西省电机工程学会,山西电力技术院

山西电力

影响因子:0.328
ISSN:1671-0320
参考文献量9
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