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arXiv 2210.12969stat.APphysics.app-phphysics.data-an
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风电场的空间结构:发电功率的相关性分析

Spatial Structures of Wind Farms: Correlation Analysis of the Generated Electrical Power

Edgar Jungblut, Henrik M. Bette, Thomas Guhr

AI总结:

该研究针对两个不同时间分辨率的海上风电场,分析涡轮机有功功率相关性,发现主导集体行为,分离后证实相关结构依赖风电场空间结构且与盛行风向有关,差异源于涡轮间距不同。

摘要:

我们研究了风电场中多台风力涡轮机的相互作用,重点关注其发电功率情况。分析了两个海上风电场的运行数据,它们的时间分辨率分别为10分钟和10秒。针对整个风电场内涡轮机之间的有功功率相关性,我们发现存在主导性的集体行为。我们成功分离出该集体行为后,发现相关结构显著依赖于风电场的空间结构。我们进一步表明,观测到的相关结构与盛行风向之间存在关联。我们将两个风电场之间的差异归因于二者内部涡轮机间距的不同。

英文摘要:

We investigate the interaction of many wind turbines in a wind farm with a focus on their electrical power production. The operational data of two offshore wind farms with a ten minute and a ten second time resolution, respectively, are analyzed. For the correlations of the active power between turbines over the entire wind farms, we find a dominant collective behavior. We manage to subtract the collective behavior and find a significant dependence of the correlation structure on the spatial structure of the wind farms. We further show a connection between the observed correlation structures and the prevailing wind direction. We attribute the differences between the two wind farms to the differences in the turbine spacing within the two wind farms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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