应用WRF模型模拟分析风力发电场风速

Wind Speed Simulation of Wind Farm Using WRF Model

风能的规划和设计中需要比较准确地确定所选厂址区域的风力资源分布,要有先进而准确的分析手段.论文选用美国WRF中尺度模式,分别选用4种不同的陆面过程方案(SLAB、Noah、RUC和Pleim-Xiu),对2008年6月16日08:00至6月23日08:00(北京时间)贵州乌江源地区某风电场区域进行水平分辨率1,km的数值模拟,对比分析了近地面风场以及4种陆面过程对模拟结果的影响.结果发现:WRF模式较好地模拟出了该区域近地面风场的变化特征.Noah方案模拟的风速最大值与实际测站的风速最大值较接近;SLAB方案与Noah方案模拟的7,d的风功率密度更接近实际测站的风功率密度.可见,WRF模式能够较好地反映该区域的近地面风场情况,且模拟结果受到地形及地表粗糙度的影响较大.

There is an urgent need to fully understand ground wind distribution in order to provide technical support for the planning of wind power plants. The objective of this study is to evaluate the capability of the weather research and forecasting （WRF） model in the simulation of ground wind distribution. Four different schemes of land surface process （SLAB, Noah, RUC ＆ Pleim-Xiu） were selected in the WRF model to simulate the wind power of Wujian-gyuan wind farm in Guizhou province during the time from 08：00, June 16 to 08：00, June 23, 2008 （Beijing time）, with a horizontal resolution of 1 km. The simulated near-surface wind field and the effects of the four different land surface processes were compared and analyzed. It is concluded that the WRF model can be applied to effectively simulate the near-surface wind variation in the region of interest. The Noah scheme is able to predict the maximum wind velocity, which is closest to the measured field data; the SLAB scheme and the Noah scheme are able to simu-late the 7-day wind power density, which is close to the field measurement. With reference to the field measurement and simulation results, the WRF model is found to perform adequately and accurately in simulating, analyzing and predicting the near-surface wind field in this wind farm. Furthermore, the terrain and ground surface roughness have significant effects on the accuracy of simulation results.