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Impact of Large Scale Battery Energy Storage on the 2030 Central European Transmission Grid

机译:大规模电池储能对2030年中欧输电网的影响

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Grid-level battery energy storage systems have been proposed as a technology that can mitigate the adverse effects of stochastic renewable energy sources by performing electric energy time shift on the grid. In this work, full-year hourly AC optimal power flow simulations are supplemented by a battery energy storage scheduling routine that utilises multi-period optimal power flow simulations, with dispatch costs based on battery degradation. Different penetration and cost scenarios for the 2030 central European transmission grid are investigated. It is found that increasing battery energy penetrations lead to a lower overall cost of electricity and significantly less wind and solar photovoltaic power curtailment, but that the capacity factors of battery energy storage systems also decrease considerably. The utilisation of battery energy storage systems is also highly dependent on geographic location, with systems located in Austria, southern and western Germany achieving relatively higher capacity factors.
机译:已经提出了电网级电池能量存储系统,该技术可以通过在电网上执行电能时间平移来减轻随机可再生能源的不利影响。在这项工作中,通过每小时的交流电最佳功率仿真来补充电池能量存储调度例程,该例程利用了多周期的最佳功率仿真,并基于电池的退化来分配成本。研究了2030年中欧输电网的不同渗透率和成本情况。发现电池能量渗透的增加导致总的电成本降低并且风能和太阳能光伏功率的削减显着减少,但是电池能量存储系统的容量因子也显着降低。电池储能系统的利用率也高度依赖地理位置,位于奥地利,德国南部和西部的系统实现了相对较高的容量系数。

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