电测与仪表2024，Vol.61Issue(4)：149-154,6.DOI:10.19753/j.issn1001-1390.2024.04.021
一种适用于光伏高渗透率地区的太阳辐照短时预测技术研究
Research on a short-term solar radiation prediction technology for photovoltaic high permeability area
摘要
Abstract
The fluctuation of PV system output caused by meteorological variations would threaten the voltage stability and operation control of the power grid in the area of high PV permeability.Therefore,a meteorological data acquisition termi-nal with STM32F103 as the core processor is designed in this paper,and intelligent sensors such as lighting,temperature,and humidity are selected to detect meteorological data in the area of high PV permeability.The measurement data is up-loaded to the data integrated processing unit composed of Nginx server and Apache server by GPRS and http transparent transmission module.Among them,Nginx server is mainly responsible for data access and distribution,and Apache server is mainly responsible for data analysis and processing.Finally,a NARX neural network model is constructed in Matlab,and the short-term prediction of solar radiation is studied by using the measured data.The results show that the proposed scheme can effectively predict the short-term changes of solar radiation in the surrounding areas of photovoltaic power plants,and provide support for the prediction of power variations of new energy generation and the optimal operation con-trol of distribution network.关键词
光伏高渗透率/太阳辐照预测/微气象测量Key words
photovoltaic high permeability/solar radiation prediction/micrometeorological measurement分类
信息技术与安全科学引用本文复制引用
水恒华,顾阳,徐晓春,张亮,张朔,戴欣..一种适用于光伏高渗透率地区的太阳辐照短时预测技术研究[J].电测与仪表,2024,61(4):149-154,6.基金项目
江苏省333科研项目(BRA2020319) （BRA2020319）
江苏省重点研发计划项目(BE2017169) （BE2017169）
国网江苏省电力有限公司科技项目(J2020009) （J2020009）
