Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed

Zhengling YANG; Ruxue WAGN; Jian QIAO; Xi ZHANG; Zhao YANG; Jun ZHANG

doi:10.12096/j.2096-4528.pgt.19126

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Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed

New and Renewable Energy | 更新时间：2025-07-04

- Analysis of the Influence of Atmospheric Pressure Difference on Spatial Correlation Prediction of Wind Speed
- Power Generation Technology Vol. 41, Issue 6, Pages: 617-624(2020)
- 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：
- 基金信息：
  
  National Natural Science Foundation of China-State Grid Corporation of China Joint Fund Project(U1766210)
- DOI：10.12096/j.2096-4528.pgt.19126
  CLC： TK89
- Received：29 June 2020，
  
  Published：31 December 2020
- 稿件说明：
移动端阅览
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：

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.

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