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Fundamentals of Using Battery Energy Storage Systems to Provide Primary Control Reserves in Germany

机译:在德国使用电池储能系统提供基本控制储备的基础知识

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The application of stationary battery storage systems to German electrical grids can help with various storage services. This application requires controlling the charge and discharge power of such a system. For example, photovoltaic (PV) home storage, uninterruptible power supply, and storage systems for providing ancillary services such as primary control reserves (PCRs) represent battery applications with positive profitability. Because PCRs are essential for stabilizing grid frequency and maintaining a robust electrical grid, German transmission system operators (TSOs) released strict regulations in August 2015 for providing PCRs with battery storage systems as part of regulating the International Grid Control Cooperation (IGCC) region in Europe. These regulations focused on the permissible state of charge ( SoC ) of the battery during nominal and extreme conditions. The concomitant increased capacity demand oversizing may result in a significant profitability reduction, which can be attenuated only by using an optimal parameterization of the control algorithm for energy management of the storage systems. In this paper, the sizing optimization is achieved and a recommendation for a control algorithm that includes the appropriate parameters for the requirements in the German market is given. Furthermore, the storage cost is estimated, including battery aging simulations for different aging parameter sets to allow for a realistic profitability calculation.
机译:固定式电池存储系统在德国电网中的应用可以为各种存储服务提供帮助。该应用需要控制这种系统的充电和放电功率。例如,光伏(PV)家庭存储,不间断电源以及用于提供诸如主要控制储备(PCR)之类的辅助服务的存储系统代表了具有正盈利能力的电池应用。因为PCR对于稳定电网频率和维持稳定的电网至关重要,德国输电系统运营商(TSO)于2015年8月发布了严格的规定,为PCR提供电池存储系统,作为对欧洲国际电网控制合作组织(IGCC)区域进行监管的一部分。这些法规重点关注标称和极端条件下电池的允许充电状态(SoC)。随之而来的容量需求过大增加可能会导致利润率显着下降,这只能通过使用用于存储系统能量管理的控制算法的最佳参数化来衰减。在本文中,实现了尺寸优化,并提出了针对控制算法的建议,其中包括针对德国市场需求的适当参数。此外,还估算了存储成本,包括针对不同老化参数集的电池老化仿真,以实现实际的获利能力计算。

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