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Probabilistic analysis of electric vehicle insertion on distribution transformer load curve

机译:配电变压器负荷曲线上电动汽车插入的概率分析

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The Electric Vehicles (EVs) introduction into the current electric power system means a transition that must be sustained by strategic support processes beyond planning policies. On this basis, in order to qualify and quantify the impact of EV battery charging on a distribution system, is proposed a probabilistic analysis through Monte Carlo method to formulate a transformer load curve. The basis scenario, without comprising EV charging, is estimated based on grid characteristics. The estimation of consumer's average daily distance driven and average grid connection time are used to formulate the EV charging scenario through two charging strategies: economic and dumb charging. While the first is based on time of use tariff, motivating the charging at low tariff charges, the second is based on driver's usual trip recurrence time. Nevertheless, the penetration level supported by the current system regarding to distribution transformer loading is analyzed.
机译:将电动汽车(EV)引入当前的电力系统意味着必须通过战略支持流程(而非规划政策)来维持这种过渡。在此基础上,为了验证和量化电动汽车充电对配电系统的影响,提出了一种基于蒙特卡洛方法的概率分析,以绘制变压器的负荷曲线。根据电网特性估算不包括电动汽车充电的基本方案。消费者的平均每日行驶距离估计和平均电网连接时间的估计用于通过两种充电策略来制定EV充电方案:经济充电和哑充电。第一个基于使用时间费率,以低关税费率激励充电,第二个基于驾驶员通常的行程重复时间。然而,分析了当前系统支持的与配电变压器负载有关的渗透水平。

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