EN大气压的差值对风速空间相关性预测的影响分析
Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed
- 发电技术 2020年41卷第6期 页码：617-624
- 作者机构：
1.天津大学电气自动化与信息工程学院, 天津市 南开区 300072
2.天津市过程检测与控制重点实验室(天津大学), 天津市 南开区 300072
- 作者简介：
[ "杨正瓴(1964), 男, 博士, 副教授, 研究方向为风电功率、电力负荷预测, zlyang@tju.edu.cn" ]
[ "王如雪(1997), 女, 硕士研究生, 研究方向为风电功率预测, 18716026828@163.com" ]
[ "乔健(1996), 男, 硕士研究生, 研究方向为风电功率预测, 18340879636@163.com" ]
- 基金信息：国家自然科学基金委员会-国家电网公司联合基金(U1766210)
DOI：10.12096/j.2096-4528.pgt.19126
中图分类号： TK89收稿：2020-06-29，
纸质出版：2020-12-31
- 稿件说明：
移动端阅览
杨正瓴, 王如雪, 乔健, 等. 大气压的差值对风速空间相关性预测的影响分析[J]. 发电技术, 2020,41(6):617-624.
Zhengling YANG, Ruxue WAGN, Jian QIAO, et al. Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed[J]. Power Generation Technology, 2020, 41(6): 617-624.
杨正瓴, 王如雪, 乔健, 等. 大气压的差值对风速空间相关性预测的影响分析[J]. 发电技术, 2020,41(6):617-624. DOI： 10.12096/j.2096-4528.pgt.19126.
Zhengling YANG, Ruxue WAGN, Jian QIAO, et al. Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed[J]. Power Generation Technology, 2020, 41(6): 617-624. DOI： 10.12096/j.2096-4528.pgt.19126.
摘要
风速空间相关性预报是风电功率预测的有效方法。为提高风速空间相关性预报的效果，文中分析了动力气象学中大气运动的基本方程，可知气压梯度力、地球引力以及摩擦力是大气运动的基本动力。在短期、超短期风电功率预测的时间尺度里，地球引力、摩擦力通常可以看作已知量或不变量，因此气压梯度力是引起风的首要动力。定量分析了我国东南沿海发展空间相关性预报的价值，认为我国季风区的空间相关性明显超过欧美，且东南沿海的近海风能明显高于陆地，特别适合空间相关性预测，采用大气压的空间相关性预测是我国季风区风电功率预测的可靠基础方法之一。
Abstract
Spatial correlation prediction of wind speed is an effective method for wind power prediction. In order to improve the effect of spatial correlation prediction of wind speed
the basic equations of atmospheric motion in dynamic meteorology were analyzed
and pressure gradient force
Earth gravity force and the friction force are the basic forces of atmospheric motion. In the time scale of short-term and super-short-term wind power prediction
gravity and friction of the earth can usually be regarded as known quantities or invariants
so pressure gradient force is the primary force causing wind. The value of development spatial correlation and prediction was quantitative analyzed on the southeastern coast of China. It shows that the spatial correlation of monsoon region in China is obviously higher than that in Europe and America
and the southeast coast of offshore wind power are significantly higher than the land
especially suitable for spatial correlation prediction. The spatial correlation of atmospheric pressure prediction is one of the reliable basics methods for prediction of monsoon wind power in China.
关键词
Keywords
references
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