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Evaluation Method of Wind Speed Time-Shifting Characteristics at Multiple Scales and Its Application in Wind Power System
Mathematical Problems in Engineering Pub Date : 2020-11-21 , DOI: 10.1155/2020/4057630
Han Wang 1 , Shuang Han 1 , Yongqian Liu 1 , Aimei Lin 1
Affiliation  

The wind speed sequences at different spatial positions have a certain spatiotemporal coupling relationship. It is of great significance to analyze the clustering effect of the wind farm(s) and reduce the adverse impact of large-scale wind power integration if we can grasp this relationship at multiple scales. At present, the physical method cannot optimize the time-shifting characteristics in real time, and the research scope is concentrated on the wind farm. The statistical method cannot quantitatively describe the temporal relationship and the speed variation among wind speed sequences at different spatial positions. To solve the above problems, a quantification method of wind speed time-shifting characteristics based on wind process is proposed in this paper. Two evaluation indexes, the delay time and the decay speed, are presented to quantify the time-shifting characteristics. The effectiveness of the proposed method is verified from the perspective of the correlation between wind speed sequences. The time-shifting characteristics of wind speed sequences under the wind farms scale and the wind turbines scale are studied, respectively. The results show that the proposed evaluation method can effectively achieve the quantitative analysis of time-shifting and could improve the results continuously according to the actual wind conditions. Besides, it is suitable for any spatial scale. The calculation results can be directly applied to the wind power system to help obtain the more accurate output of the wind farm.

中文翻译:

多尺度风速时移特性评估方法及其在风电系统中的应用

不同空间位置的风速序列具有一定的时空耦合关系。如果我们能够在多个尺度上把握这种关系,那么分析风电场的集聚效应并减少大规模风电整合的不利影响就具有重要意义。目前,物理方法无法实时优化时移特性,研究范围集中在风电场上。统计方法无法定量描述不同空间位置的风速序列之间的时间关系和速度变化。针对上述问题,提出了一种基于风过程的风速时移特性的量化方法。两个评估指标,延迟时间和衰减速度,提出量化时移特性。从风速序列之间的相关性角度验证了该方法的有效性。研究了风电场规模和风力发电机规模下风速序列的时移特性。结果表明,所提出的评价方法可以有效地实现对时移的定量分析,并可以根据实际风况不断改进结果。此外,它适用于任何空间尺度。计算结果可以直接应用于风力发电系统,以帮助获得更准确的风电场输出。从风速序列之间的相关性角度验证了该方法的有效性。研究了风电场规模和风力发电机规模下风速序列的时移特性。结果表明,所提出的评价方法可以有效地实现对时移的定量分析,并可以根据实际风况不断改进结果。此外,它适用于任何空间尺度。计算结果可以直接应用于风力发电系统,以帮助获得更准确的风电场输出。从风速序列之间的相关性角度验证了该方法的有效性。研究了风电场规模和风力发电机规模下风速序列的时移特性。结果表明,所提出的评价方法可以有效地实现对时移的定量分析,并可以根据实际风况不断改进结果。此外,它适用于任何空间尺度。计算结果可以直接应用于风力发电系统,以帮助获得更准确的风电场输出。结果表明,所提出的评价方法可以有效地实现对时移的定量分析,并可以根据实际风况不断改进结果。此外,它适用于任何空间尺度。计算结果可以直接应用于风力发电系统,以帮助获得更准确的风电场输出。结果表明,所提出的评价方法可以有效地实现对时移的定量分析,并可以根据实际风况不断改进结果。此外,它适用于任何空间尺度。计算结果可以直接应用于风力发电系统,以帮助获得更准确的风电场输出。
更新日期:2020-11-22
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