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Optimisation model with degradation for a battery energy storage system at an EV fast charging station

机译:EV快速充电站电池储能系统劣化的优化模型

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The electrification of the energy sector challenges the conventional methods to meet the increased load demand. The rapid increase of electric vehicles and the desire for shorter charging time at fast charging stations (FCS) contributes to higher power peaks in local distribution grids. This may lead to capacity issues, where a battery storage can be considered as an alternative to reinforcing the grid. This paper proposes a novel optimisation model including degradation that minimises operational costs for an actual FCS in Norway with a battery system. A case study is performed, where installing a battery system is compared to traditional grid reinforcement. The result of the case study shows that the total cost was 0.9 million NOK1 higher for installing a BESS than reinforcing the grid, which corresponds to 44 % of the battery investment cost. Sensitivity analyses are done on time step, grid tariffs and degradation. The sensitivity analysis on degradation shows that calendar aging dominates battery degradation.
机译:能量部门的电气挑战常规方法以满足增加负载需求。电动车辆的快速增加以及在快速充电站(FCS)的更短充电时间(FCS)有助于局部分配网格中的更高功率峰值。这可能导致容量问题,其中电池存储可以被认为是加强电网的替代方案。本文提出了一种新颖的优化模型,包括劣化,可最大限度地利用电池系统在挪威实际FCS的运营成本。执行案例研究,其中安装电池系统与传统的网格加固相比。案例研究结果表明,总成本为90万诺克 1 安装BESS比加强电网更高,这对应于电池投资成本的44%。敏感性分析是按时,网格关税和退化完成的。降解的敏感性分析表明,日历老化主导了电池劣化。

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