我国风电及光电分布特征数值模拟研究

mesoscale atmospheric model is applied in China in order to analyze and understand the spatial and temporal variability of wind and solar radiation and energy production from wind farms and photovoltaics (PV) in China. Systematic application of a Mesoscale Weather Prediction Model for one year in China provides simultaneous information of wind velocity and solar radiation in selected points, to be used for the estimation of wind farms and PV power output. Then these time series are analyzed to show the temporal and spatial variability of aggregated wind and PV power output in different time and space scales. TThe parallel analysis for wind and solar resource in China and comparisons between sub-regions, show that there is a smoothing effect on the cumulative power output thanks to the integration of wind farms and photovoltaics in wider geographical areas. The benefit thanks to the spatial dispersion is more important in case of wind, while in the case of solar the smoothing effect is rather limited. Then PV systems should be integrated close to the demand and in the order of magnitude of the local consumption, while wind farms should be dispersed in the whole Chinese territory, taking into consideration the existing and under development grid infrastructures.