Nesting LES within WRF for Distributed Wind Energy Prediction

• 作 者: JinShuanglong;WangBo;FengShuanglei;MaZhenqiang;HuJu;
• 机 构: China Electric Power Research Institute,Haidian District,Beijing,100192,China
• 出 处: 第八届中国(上海)国际风能展览会暨研讨会
• 发表日期: 2014年期

　　Since the distributed wind power closer to the user or load centers,leading to more complex elements of the surrounding environment.However,the stability,reliability,power quality of the system has put forward higher requirements.The changes of obstacles,surface roughness and topography have increased the difficulty of numerical weather prediction that used for distributed wind power forecast,which has seriously hampered the development of distributed wind power.This paper nested large eddy simulation (LES) technology within the weather research and forecast (WRF) model,formed a high-resolution model system that simultaneously consider meso-scale and mirco-scale atmospheric motion,carried out the simulation study in northeastern China,and compared the simulation model with the observation data.The results show that the nesting LES within WRF model system can effectively improve wind prediction accuracy,it can provide more accurate and reliable support for distributed wind power forecast,and the model system has application potential.