Characterization of Wind Power Forecast Error Using the WRF Model: Inner Mongolia Case Study

Haifeng Wang, E. Novakovskaia, Wenjun Yin, Jin Dong
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Abstract

In China, the wind power is expanding very quickly. We examine a specific real wind farm in China and analyze the WRF (Weather Research and Forecasting) model forecasts with different physical configurations and spatial resolutions. The model short-term wind speed predictions for February 2008 are compared with a real data collected in a met tower in the wind farm at 10-min sampling rate. In our case study, the WRF model run with the MYJ scheme outperforms the YSU scheme, on average. We focus on the model skill improvement for winds above 3m/sec that essential for wind farm companies. Our study indicates that wind speed forecast error at met tower location does not exceed 2 m/sec for 6 km resolution grid.
基于WRF模型的风电预测误差表征——以内蒙古为例
在中国,风力发电正在迅速发展。本文以中国某实际风电场为例,分析了WRF(天气研究与预报)模式在不同物理配置和空间分辨率下的预报结果。将模型预测的2008年2月的短期风速与风电场气象塔以10分钟采样率采集的实际数据进行了比较。在我们的案例研究中,平均而言,使用MYJ方案运行的WRF模型优于YSU方案。我们专注于风速超过3米/秒的模型技能改进,这对风电场公司至关重要。研究表明,在分辨率为6 km的网格中,风速预报误差不超过2 m/s。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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