Assimilation method for multi-scale data of ground surface temperature field on basis of photovoltaic power stations

Abstract

The invention discloses an assimilation method for multi-scale data of a ground surface temperature field on the basis of photovoltaic power station measurement data. The method comprises steps as follows: firstly, photovoltaic power station measurement points are clustered with a DBSCAN (density-based spatial clustering of applications with noise) algorithm, a multi-scale grid of the temperaturefield is established according to a clustering result, finally, the multi-scale grid is subjected to data assimilation, and an assimilation result of the multi-scale data of the temperature field is obtained. According to the method, the problem that calculation accuracy and calculation efficiency cannot be realized simultaneously due to fixed grid resolution of a common data assimilation method can be solved, and accuracy of automatic numerical weather prediction calculation of the electric power industry is improved; the multi-scale grid is established according to photovoltaic weather station data easily obtained by the electric power industry as well as the distribution condition of the photovoltaic power stations, a high-resolution data assimilation result is obtained in the area nearby the photovoltaic power stations, and the accuracy of automatic numerical weather prediction calculation of the electric power industry is improved.

Description

technical field [0001] The invention relates to the technical field of numerical weather forecast data assimilation, in particular to a multi-scale data assimilation method for surface temperature field based on a photovoltaic power station. Background technique [0002] Data assimilation is the process of obtaining the initial field of the atmosphere through the statistical combination of model prediction and observation, and it is a key technology for numerical weather prediction. In photovoltaic power forecasting modeling, the forecast accuracy of temperature is an important factor affecting the forecast accuracy of photovoltaic power generation. Therefore, it is necessary to study high-resolution and high-precision temperature forecast methods for regional photovoltaic power plants. In addition, the power industry can make full use of the meteorological data collected by the weather station in the photovoltaic power station, establish a temperature data assimilation meth...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a multi-scale data assimilation method for the surface temperature field based on photovoltaic power plants, aiming at solving the problem that the existing numerical weather prediction methods mainly use satellite meteorological data, which cannot be applied to the power industry, and are difficult to directly apply Technical problems in the independent construction of numerical weather forecasting platform in the electric power industry

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