| 风电场风电功率短期预报方法比较 |
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| 引用本文： | 许杨,陈正洪,杨宏青,王林,成驰,许沛华.风电场风电功率短期预报方法比较[J].应用气象学报,2013,24(5):625-630. |
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| 作者姓名： | 许杨 陈正洪 杨宏青 王林 成驰 许沛华 |
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| 作者单位： | 湖北省气象服务中心，武汉 430074 |
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| 基金项目： | 资助项目：武汉区域气象中心科技发展基金（qy z 201005），中国气象局气象关键技术集成与应用项目（CMAGG2013M31） |
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| 摘 要： | 通过开展湖北省九宫山风电场短期风电功率预报方法的研究，以不断提高预报准确率，为风电场提供更有价值的预报服务，该文利用MM5耦合CALMET模式模拟风电场风速资料，采用物理法和动力统计法探讨风电场各种情况下预报应用效果。结果表明:模拟风速释用订正能有效降低风速预报误差，但难以修正预报趋势；动力统计法更适用于九宫山风电场的复杂山区地形，可能由于该方法能自发适应风电场地理位置；采用实测数据建立的风电功率预报模型优于理论风电功率模型，这也与风机实际运行环境会影响风机输出功率有关。
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| 关 键 词： | 风电功率 数值模拟 短期预报 模拟风速订正 |
| 收稿时间： | 2012-09-29 |
| 修稿时间： | 7/2/2013 12:00:00 AM |
Comparison of Short term Forecast Method of Wind Power in Wind Farm |
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| Xu Yang,Chen Zhenghong,Yang Hongqing,Wang Lin,Cheng Chi and Xu Peihua.Comparison of Short term Forecast Method of Wind Power in Wind Farm[J].Quarterly Journal of Applied Meteorology,2013,24(5):625-630. |
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| Authors: | Xu Yang Chen Zhenghong Yang Hongqing Wang Lin Cheng Chi and Xu Peihua |
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| Institution: | Hubei Provincial Meteorological Service Center, Wuhan 430074 |
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| Abstract: | To further improve the accuracy of wind energy forecast and provide more valuable service, several wind energy forecast methods are studied comparatively in Jiugongshan Wind Farm. Based on the wind speed simulation results by the aggregative model CALMET coupled with MM5 (the model resolution is 200 m), the principle method and dynamic-statistical method are used to discuss 24-h forecast effect, with the temporal resolution set to 15 minutes. There are three kinds of principle method to discuss the effect of simulated wind speed correcting and the wind energy forecast model based on observations. The dynamic-statistical method forecast by establishing a rolling model using the simulated data of last period every day.The fine-scale simulation can obviously forecast the variation trend of wind speed. The correcting of simulated wind speed can effectively reduce the wind speed error and improve the forecasting accuracy, but it is difficult to revise the changing trend of simulated wind speed.The dynamic-statistical method is much more suitable for the complex topography mountainous terrain, and the monthly relative mean square root error is 14%—26% from July to December in 2011, which might be the result of its spontaneous adaption for terrain conditions.The wind energy forecast model based on observations is better than those based on theoretical model and can effectively reduce the forecasting error, because the wind farm environment has unique effects on the output power of fan.Furthermore, it is discovered that the wind energy forecast in southern mountain area is much more difficult than in north area. The fine-scale simulation should be used to reduce the infection of terrain; the method of simulated wind speed correcting must consider the different situation of the wind farm; the extreme weather events must be considered, and effects of different weather especially meteorological disaster such as ice-coating and thunderstorm should be deeply studied. These results enhance the service effect at Jiugongshan Wind Farm in Hubei Province, and more research should be carried out to improve the forecast accuracy. |
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