Learning EV Integration Impact on a Low Voltage Distribution Grid
Learning EV Integration Impact on a Low Voltage Distribution Grid
复制标题
DOI：
10.1109/pesgm.2018.8586208
复制
发表时间：
2018-08
期刊：
影响因子：
--
通讯作者：
Emin Ucer;M. Kisacikoglu;Ali Cafer Gurbuz
中科院分区：
文献类型：
--
作者：
Emin Ucer;M. Kisacikoglu;Ali Cafer Gurbuz
电动汽车（EV）正在改变现代交通和能源系统。然而，由于电池和充电器容量的增加以及充电时间的延长，随着电动汽车的大量普及，预计会对配电网产生不利影响。在本文中，我们调查和评估的电压影响电动汽车集成到一个37节点的IEEE配电网模型，以提取电力系统阻塞信息的签名。得到了局部节点电压随节点到变电站距离和不同EV接入率的统计分布。据观察，EV积分和节点距离影响所观察到的电压均值和偏差在本地节点显着。所得到的结果表明，每个本地节点可以推断在配电网中的拥塞，只观察自己的电压水平。这将为本地控制机制开辟新的可能性，使电动汽车之间的公平功率共享成为可能，而无论其物理位置如何。
Electric vehicles (EVs) are transforming the modern transportation and energy systems. However, due to increasing battery and charger capacities with long charging times, adverse effects on distribution grid are expected with mass penetration of EVs. In this paper, we investigate and evaluate the voltage impact of EV integration into a 37-bus IEEE distribution grid model to extract the signature of power system congestion information. The statistical distribution of voltage at local nodes are obtained with respect to node distance to substation and different EV integration rates. It is observed that both EV integration and node distance affect the observed voltage means and deviations at the local node significantly. The obtained results show that each local node can infer the congestion in the distribution grid by only observing its own voltage levels. This will open new possibilities for local control mechanisms that will enable fair power sharing among EVs irrespective of their physical location.