基于数据可视化的大型电动车充电行为分析

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2017-05-01 DOI:10.1109/ICNSC.2017.8000123

Lin Xiqiao, Yang Zhou

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引用次数: 4

摘要

近年来，越来越多的国家决定发展电动汽车，特别是电动汽车。然而，由于价格低廉等问题，电动自行车已经成为许多发展中国家最受欢迎的电动交通工具。例如，中国有超过2.1亿辆电动自行车。大规模的电动自行车充电需求从时间到空间上不仅对配电网产生影响，而且具有需求侧管理(DSM)价值。本文介绍了一种估算电动自行车实时充电负荷的方法。然后利用热图和功率密度节点对空间需求进行可视化。数值结果表明，大规模电动自行车充电需求不仅存在较大的峰谷，而且在空间上表现出不平衡性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of large-scale electric vehicles charging behavior using data visualization

Recently, more and more countries decided to develop electric vehicles especially electric car. However, because of low prices and other issues, electric bicycles have become the most popular electric transportation vehicles in many developing countries. For example, there are more than 210 million electric bicycles in China. Large-scale electric bicycle charging demand from time to space will not only has an impact on power distribution grid, but also has demand side management (DSM) value. In this paper, we introduced a method for estimating the real-time charging load for electric bicycles. Then we visualized demand in space using heat map and power density node. The numerical results illustrate that large-scale electric bicycle charging demand not only has a great peak-valley but also exhibits unbalance in space.

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来源期刊

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)

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