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A case study on the behaviour of residential battery energy storage systems during network demand peaks

机译:网络需求峰期间住宅电池能量存储系统行为的案例研究

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Over the last decade, the electricity sector has seen a significant increase in the number of residential battery systems, as well as increasing interest in using them to reduce demand during network peaks. Although there is an abundance of literature assessing this ability using modelled residential batteries, there is a lack of detailed assessment using deployed residential batteries. This paper analyses 1-min resolution data from 15 non-coordinated residential batteries deployed in Australia across 6 network peak demand periods. A novel metric was used to quantify errors in BESS load-following, which occurred when the batteries did not completely mitigate grid import and export even when they had sufficient energy capacity and rated power. On average the 15 batteries discharged around 25% of their rated power during network demand peaks, whereas those that load-followed discharged around 40%. Despite the small sample size, these results suggest that the outcomes from modelled batteries represent the ideal upper bound and the actual performance of some batteries is likely to be lower. This there is a need for more research into the actual operation of deployed batteries, and what this means for the current modelled findings regarding their ability to reduce demand during network peaks. (c) 2021 Elsevier Ltd. All rights reserved.
机译:在过去十年中,电力部门已经看到了住宅电池系统数量的显着增加,以及越来越多地利用它们来减少网络峰值需求。虽然有丰富的文献使用所设计的住宅电池评估这种能力,但使用部署的住宅电池缺乏详细的评估。本文分析了在6个网络峰值需求期间部署的15个非协调住宅电池的1分钟分辨率数据。一种新颖的度量用于量化贝塞负载的误差,即使在具有足够的能量容量和额定功率时,电池也没有完全减轻电网进口和导出。平均而言,在网络需求峰值期间,15个电池放电约25%的额定功率,而那些加载遵循约40%的人。尽管样品尺寸小,但这些结果表明,建模电池的结果代表了理想的上限,一些电池的实际性能可能会降低。这需要更多研究部署电池的实际操作,以及对当前建模的调查结果有关其减少网络峰值需求的能力的方法。 (c)2021 elestvier有限公司保留所有权利。

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