面向电网中存储灵活性高效聚合的研究
Towards Efficient Aggregation of Storage Flexibilities in Power Grids
AI总结：
本文针对大量灵活存储设备聚合面临的维度灾难问题，改进基于顶点的内近似方法以扩展至通用存储设备，并通过电动汽车削峰案例验证其有效性与准确性。
摘要：
波动性可再生能源渗透率的不断提高以及需求的持续增长，给现代电网带来了挑战。此外，分布式能源资源和灵活设备（电动汽车、光伏发电等）正变得越来越普及，这使得将它们聚合用于辅助服务具有吸引力。然而，准确量化大量灵活设备的聚合灵活性被认为受到维度灾难的限制，即其计算扩展性不佳。这促使了各种近似算法的发展。在本研究中，我们改进了此前提出的基于顶点的内近似方法，将其扩展到更通用的存储设备。我们通过一个案例研究展示了所提方法的有效性和准确性，该案例将我们的方法与精确的集中式控制框架进行了比较，其中大量电动汽车的灵活性被结合起来以降低住宅区的峰值负荷。
英文摘要：
The increasing penetration of volatile renewables combined with increasing demands poses a challenge to modern power grids. Furthermore, distributed energy resources and flexible devices (electric vehicles, PV generation, ...) are becoming more widespread, making their aggregate usage for ancillary services interesting. However, accurately quantifying the aggregate flexibility of numerous flexible devices is known to be limited by the curse of dimensionality, i.e., it does not scale well computationally. This has led to the development of various approximation algorithms. In this study, we improve upon our previously proposed vertex-based inner approximation, extending it to more general storage devices. We demonstrate the efficacy and accuracy of the proposed method in a case study comparing our approach with an exact centralized control framework, where the flexibility of numerous electric vehicles is combined to reduce the peak load in a residential area.
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。
