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Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications

机译:用于电网规模应用的电池储能系统(BESS)和电池管理系统(BMS)

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摘要

The current electric grid is an inefficient system that wastes significant amounts of the electricity it produces because there is a disconnect between the amount of energy consumers require and the amount of energy produced from generation sources. Power plants typically produce more power than necessary to ensure adequate power quality. By taking advantage of energy storage within the grid, many of these inefficiencies can be removed. When using battery energy storage systems (BESS) for grid storage, advanced modeling is required to accurately monitor and control the storage system. A battery management system (BMS) controls how the storage system will be used and a BMS that utilizes advanced physics-based models will offer for much more robust operation of the storage system. The paper outlines the current state of the art for modeling in BMS and the advanced models required to fully utilize BMS for both lithium-ion batteries and vanadium redox-flow batteries. In addition, system architecture and how it can be useful in monitoring and control is discussed. A pathway for advancing BMS to better utilize BESS for grid-scale applications is outlined.
机译:当前的电网是效率低下的系统,浪费了它产生的大量电能,因为在消费者所需的能量数量与从发电源产生的能量数量之间存在脱节。发电厂通常会产生超过必要功率的功率,以确保足够的电能质量。通过利用电网内的能量存储,可以消除许多效率低下的问题。当使用电池能量存储系统(BESS)进行网格存储时,需要高级建模才能准确地监视和控制存储系统。电池管理系统(BMS)控制将如何使用存储系统,而利用基于物理的高级模型的BMS将为存储系统提供更强大的操作。本文概述了BMS中建模的最新技术,以及将BMS完全用于锂离子电池和钒氧化还原液流电池所需的高级模型。此外,还讨论了系统架构及其在监视和控制中的作用。概述了改进BMS以便更好地将BESS用于网格规模应用的途径。

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