Optimal storage policies with wind forecast uncertainties
Optimal storage policies with wind forecast uncertainties
复制标题
风力预报不确定性下的最优储能策略
DOI：
10.1145/2425248.2425255
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
J. L. Boudec
中科院分区：
文献类型：
--
作者：
Nicolas Gast;Dan;J. L. Boudec
风能在当前能源结构中渗透率的增加受到其高波动性和低可预测性的阻碍。这些缺点导致能量损失和增加部署快速斜坡发电。储能的使用在一定程度上弥补了这些负面影响；它在需求和生产之间起着缓冲作用。我们重新审视Bejan等人提出的真实存储模型。研究了对能量转换效率性能和风预报质量的影响。具体来说，我们提供了能量损失和快速斜坡发电之间权衡的理论界限，我们表明对于大容量可用存储来说，这是紧密的。此外，在对英国电网的实际数据进行评估时，我们制定了优于所提议的固定水平政策的策略。
The increase in penetration of wind in the current energy mix is hindered by its high volatility and poor predictability. These shortcomings lead to energy loss and increased deployment of fast ramping generation. The use of energy storage compensates to some extent these negative effects; it plays a buffer role between demand and production. We revisit a model of real storage proposed by Bejan et al.[1]. We study the impact on performance of energy conversion efficiency and of wind prediction quality. Specifically, we provide theoretical bounds on the trade-off between energy loss and fast ramping generation, which we show to be tight for large capacity of the available storage. Moreover, we develop strategies that outperform the proposed fixed level policies when evaluated on real data from the UK grid.