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Temporal structure of aggregate power fluctuations in large-eddy simulations of extended wind-farms

机译:扩展风场的大涡模拟中总功率波动的时间结构

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摘要

Fluctuations represent a major challenge for the incorporation of electric power from large wind-farms into power grids. Wind-farm power output fluctuates strongly in time, over various time scales. Understanding these fluctuations, especially their spatio-temporal characteristics, is particularly important for the design of backup power systems that must be readily available in conjunction with wind-farms. In this work we analyze the power fluctuations associated with the wind-input variability at scales between minutes to several hours, using large eddy simulations (LES) of extended wind-parks, interacting with the atmospheric boundary layer. LES studies enable careful control of parameters and availability of wind-velocities simultaneously across the entire wind-farm. The present study focuses on neutral atmospheric conditions and flat terrain, using actuator-disk representations of the individual wind-turbines. We consider power from various aggregates of wind-turbines such as the total average power signal, or signals from sub-averages within the wind-farm. Non-trivial correlations are observed due to the complex interactions between turbines placed downstream of each other, and they lead to noticeable spectral peaks at frequencies associated with the inter-turbine spacings when the wind-direction is completely fixed. In that case we observe that the frequency spectra of the total wind-farm output show a decay that follows approximately a −5/3 power-law scaling regime, qualitatively consistent with some observations made in field-scale operational wind-parks [J. Apt, “The power spectrum of power from wind-turbines,” J. Power Sources 169, 369 (2007)]. We find that these features are still observed when the wind-speed varies in magnitude. However, significant changes in the wind-direction over time tend to smooth out the observed spectral peak and reduce the extent of the observed −5/3 power-law
机译:波动是将大型风力发电场的电力并入电网的主要挑战。风电场的功率输出会在不同的时间范围内随时间剧烈波动。了解这些波动,尤其是其时空特性,对于必须与风电场结合使用的备用电源系统的设计尤为重要。在这项工作中,我们使用扩展的风场的大型涡流模拟(LES)与大气边界层相互作用,分析了与风输入变化相关的功率波动,范围在数分钟至数小时之间。 LES研究可以在整个风电场中同时对参数和风速可用性进行仔细控制。本研究着重于中性大气条件和平坦的地形,使用单个风力涡轮机的致动器盘表示。我们考虑了来自各种风力涡轮机的功率,例如总平均功率信号,或来自风电场内子平均值的信号。由于放置在彼此下游的涡轮机之间的复杂相互作用,因此观察到非平凡的相关性,当风向完全固定时,它们会在与涡轮机间距相关的频率处引起明显的频谱峰值。在那种情况下,我们观察到总风电场输出的频谱显示出大约遵循-5/3幂律定标范围的衰减,在质量上与在现场规模运行的风电场中观察到的一致[J. Apt,“来自风力涡轮机的功率谱”,J。Power Sources 169,369(2007)。我们发现,当风速大小变化时,仍然可以观察到这些特征。但是,随着时间的推移,风向的显着变化趋于使观测到的频谱峰值变得平滑,并减小观测到的-5/3幂律的范围

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