Short-term forecast method and system for temperature of photovoltaic assembly

The invention relates to a short-term forecast method and system for the temperature of a photovoltaic assembly. According to the invention, meteorological element forecast data of a specified location is generated by using a mesoscale weather research forecast (WRF) model, and the meteorological el...

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Hauptverfasser: LU FEIFEI, WANG RUOYANG, SUN RONGFU, CUI FANG, ZHU XIANG, WU YUQING, DING HUANG, WANG DONGSHENG, WANG ZHIJIA, QIN HAO, CHEN WEIDONG, ZHOU QIANG, YU BINGXIA, WANG JINGRAN, ZHOU HAI, CHENG XU, MU JING, LI DENGXUAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a short-term forecast method and system for the temperature of a photovoltaic assembly. According to the invention, meteorological element forecast data of a specified location is generated by using a mesoscale weather research forecast (WRF) model, and the meteorological element forecast data such as the temperature, relative humidity, wind speed, wind direction and totalradiation is calculated based on a model result; a historical time sequence of meteorological element data at the location of the photovoltaic assembly and temperature data of the photovoltaic assembly at the corresponding location, time period and resolution are collected, a multi-dimensional Kalman filtering short-term forecast model is built by taking the total radiation, temperature, relativehumidity, wind speed and wind direction at the moment t as multi-dimensional Kalman filtering factors and taking the assembly temperature at the moment t as an output factor, and training is performed on the model; the day-ah