Expected Wind Speed Estimation Considering Spatio-Temporal Anisotropy for Generating Synthetic Wind Power Profiles
Expected Wind Speed Estimation Considering Spatio-Temporal Anisotropy for Generating Synthetic Wind Power Profiles
复制标题
考虑时空各向异性的预期风速估计，用于生成合成风电剖面
DOI：
10.1016/j.egypro.2018.11.047
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Y. Hayashi
中科院分区：
文献类型：
--
作者：
Kouki Hama;Y. Fujimoto;Y. Hayashi
风力发电是未来有望引入电网的可再生能源之一。然而，风电出力的意外波动会导致严重的问题，如频率调节不足。对策之一是利用电池系统来缓解短期波动。然而，一般来说，为了估计电池系统的适当规格，需要在将来建造的风力发电场处产生的风力的时间序列数据。因此，我们已经开发了一种框架，该框架针对将建造风力涡轮机的任何目标点生成目标点的合成风力功率分布。在本文中，我们提出了一种统计方法来再现时间上合理的风速序列生成合成的风力发电剖面。我们使用真实世界的数据集显示的数值经验的结果。
Wind power generation is one of renewable energies which are expected to introduce to power grid in the future. However, unexpected fluctuations of wind power output will cause serious problems such as the lack of frequency adjustment. One of the countermeasures is utilization of battery systems for mitigating short-term fluctuations. However, in general, time series data of wind power which will be generated at the wind farm built in the future is required for estimating appropriate specification of the battery system. Therefore, we have been developed a framework generating synthetic wind power profiles of a target point for any target points where the wind turbine will be built. In this paper, we propose a statistical approach for reproducing temporally plausible wind speed sequence for generating synthetic wind power profiles. We show the result of numerical experience using real-world dataset.