Improved rule-based power distribution algorithm for hybrid battery storage systems and real-world validation

电池(电) 可靠性工程 软件部署 计算机科学 荷电状态 网格 利用 吞吐量 软件 功率(物理) 高效能源利用 航程(航空) 汽车工程 储能 电气工程 工程类 嵌入式系统 电信 无线 操作系统 物理 航空航天工程 量子力学 计算机安全 数学 几何学
作者
Lucas Koltermann,Mauricio Celi Cortés,Jan Figgener,Sebastian Zurmühlen,Dirk Uwe Sauer
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:86: 111360-111360 被引量:4
标识
DOI:10.1016/j.est.2024.111360
摘要

Large-scale battery energy storage systems (BESS) can serve many applications and are already widely used for grid services. The rapidly growing BESS market and the recent interest in their deployment accentuate the need for safe, reliable, and highly available energy management systems (EMS) for automated control. However, the EMS and their integrated power distribution algorithms (PDA) can still be optimized to adapt various characteristics of the BESS. This study investigates a new version of a PDA with a particular focus on battery aging and system efficiency. The rule-based PDA has been validated on a 6 MW/7.5 MWh BESS system with five battery technologies providing frequency containment reserve to the German power grid. The results underline the PDA's capability to exploit the individual strengths of each battery technology. The PDA sets objectives for the state of charge, energy throughput, and power of the batteries to extend battery life. The distribution of energy throughputs among batteries can be selected in advance through the new implementation of the PDA. At the same time, the inverters are significantly less often activated and used in the optimal efficiency range, increasing the overall system efficiency to approximately 82 %. The optimized switching behavior leads to less frequent power switching between individual battery units and longer phases with more constant power. In addition, the operational efficiency of BESS can be improved by the choice of battery technology and the overall system layout on the hardware side. The improvements on the software side are only possible by increasing the overall power requests through multi-use operation by about 6 % compared to our benchmark test. The results can be used by BESS operators to increase operational profits due to longer battery life and fewer efficiency losses.
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