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Impact of uncoordinated electric vehicle charging on the distribution grid

机译:不协调电动车充电对分布网格的影响

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Charging electric vehicles (EVs) represents an extra and increasing load for the power system. And the higher the charging power is, the more likely it is that serious problems will arise. In addition to home charging, in Hungary - the area of interest in this paper - Level 2 chargers in the streets are currently installed with a maximum charging power of 22 kW. Since the local market share of EVs is low at present and expected to remain relatively low in the years to come, it is essential to see where the limits of the low-voltage distribution grid are in terms of taking the extra EV charging load. This paper presents extensive simulation results taking various EV charging characteristics, arrival statistics, household load variation, and other assumptions into consideration to determine how EV charging will affect the low voltage grid. The stochastic simulations were conducted in DIgSILENT Power Factory augmented with a Python code. Simulation results indicate that an already moderately loaded grid is capable of accommodating EVs at a penetration level of approximately 20%, which can be considered a high value.
机译:充电电动车(EVS)代表电力系统的额外和增加负载。充电能力越高,可能会出现严重问题的可能性越大。除了在匈牙利收费外,在匈牙利 - 本文的兴趣领域 - 街道上的2级充电器目前安装了最大充电功率为22千瓦。由于目前EVS的当地市场份额低,并且在未来几年的情况下预计保持相对较低,因此必须了解低压分布网格的限制,以额外的EV充电负荷而言。本文提出了广泛的模拟结果,采取各种EV充电特性,到达统计,家庭负荷​​变化以及其他假设,以确定EV充电如何影响低电压电网。随机仿真在Digsilent Power Factory进行了增强的Python代码。仿真结果表明,已经适度装载的网格能够以约20%的渗透水平容纳EV,这可以被认为是高值。

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