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Optimal operation of a battery energy storage system: Trade-off between grid economics and storage health

机译:电池储能系统的最佳运行:电网经济性与储能状态之间的权衡

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摘要

The utilization of grid-scale energy storage is growing exponentially due its decreasing costs and added flexibility to providing numerous services. Among the currently available storage systems, batteries based on lithium-ion chemistries are poised to provide a significant share of such flexibility due to their high power and energy density, and relatively low cost per unit energy. However, research on such systems has been segregated into focus on its chemical properties, and focus on the grid integration separately. This paper proposes a data-driven framework to characterize battery energy storage systems embedded into a decision-making optimization model. The model embeds two mechanisms, variable C-rates and variable efficiencies, so that batteries may be scheduled at high-power (high C-rate) operations to capture additional grid revenues, only if economical against the cost of degradation effects. The framework is applied to stationary battery energy storage systems in retail markets in order to explore the improved energy arbitrage benefits. (C) 2017 Elsevier B.V. All rights reserved.
机译:网格级储能的利用正以指数级增长,这是因为其成本不断下降,并且在提供众多服务方面更加灵活。在当前可用的存储系统中,基于锂离子化学物质的电池由于其高功率和能量密度以及相对较低的每单位能量成本而准备提供很大的灵活性。但是,已将对此类系统的研究集中在其化学性质上,并将注意力分别放在网格集成上。本文提出了一种数据驱动框架,以描述嵌入到决策优化模型中的电池能量存储系统。该模型嵌入了两种机制,即可变C速率和可变效率,因此,只有在不考虑退化影响成本的情况下,才可以安排电池以高功率(高C速率)运行,以获取更多的电网收入。该框架应用于零售市场中的固定式电池储能系统,以探索改进的能源套利收益。 (C)2017 Elsevier B.V.保留所有权利。

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