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Optimizing PV and grid charging in combined applications to improve the profitability of residential batteries

机译:在组合应用中优化光伏和电网充电,以提高住宅电池的盈利能力

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摘要

The energy storage market is growing exponentially and residential batteries are being deployed including in grid-connected housing, in order to increase on-site use of PV electricity, i.e. PV self-consumption. However, residential batteries have not reached economic profitability yet in most grid-connected situations, and alternative applications for residential batteries should be explored. This paper presents results from an economic optimization of the operation of a residential battery for two different applications, namely PV self-consumption and demand-load shifting under different dynamic tariff structures. A genetic algorithm was used to identify the optimal operation of the battery for both applications separately as well as combined, in order to investigate whether and under what circumstances the delivery of these two services can help to create an economic case. We find that the greatest monetary value per kWh of storage capacity installed is obtained when a battery is used for PV self-consumption under a single, flat tariff. Furthermore, adding demand-load shifting to the value proposition is economically attractive since it helps to minimize the levelized cost associated with battery storage. We also identify improvements needed for residential batteries to reach economic viability in Switzerland for both PV self-consumption and demand-load shifting, as for example, halving of capital expenditure of the battery system.
机译:储能市场呈指数增长,并且在包括并网房屋中部署了家用电池,以增加现场使用PV电力,即PV自耗。但是,在大多数并网情况下,家用电池尚未达到经济盈利能力,因此应探索家用电池的替代应用。本文介绍了针对两种不同应用的住宅电池运行的经济优化结果,即不同动态电价结构下的光伏自耗和需求负载转移。为了研究这两种服务是否在何种情况下以及在何种情况下提供这两种服务可以帮助创建经济案例,使用了一种遗传算法来分别确定这两种应用的最佳电池操作。我们发现,将电池用于单一固定电价下的光伏自耗时,可获得每千瓦时安装容量最大的货币价值。此外,将需求负载转移添加到价值主张在经济上具有吸引力,因为它有助于最大程度地减少与电池存储相关的成本。我们还确定了家用电池需要的改进,以实现瑞士在光伏自耗和需求负载转移方面的经济可行性,例如,将电池系统的资本支出减少一半。

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