Analysis of AIMD Algorithm for EV Charging

Analysis of AIMD Algorithm for EV Charging
复制标题

DOI：
10.1145/3307772.3330179
复制
发表时间：
2019-06
期刊：
Proceedings of the Tenth ACM International Conference on Future Energy Systems
影响因子：
--
通讯作者：
Emin Ucer;M. Kisacikoglu;M. Yuksel
Emin Ucer;M. Kisacikoglu;M. Yuksel
中科院分区：
其他
文献类型：
--
作者：
Emin Ucer;M. Kisacikoglu;M. Yuksel

文献摘要

被引文献

相似文献

AIMD算法是互联网上用于容量共享和拥塞避免的事实协议。我们提出了一个分析的AIMD算法在电动汽车充电问题的参数和它们对平均充电功率的影响。我们展示了AIMD的平均最终份额的闭合形式表达式，提出了EV充电的对应算法，并通过在不同的变化参数下测试算法来验证表达式。
The Additive Increase and Multiplicative Decrease (AIMD) algorithm is the Internet's de-facto protocol for capacity sharing and congestion avoidance. We present an analysis of the AIMD algorithm in EV charging problem in terms of its parameters and their impact on the average charging power. We show a closed-form expression for the average final share of AIMD, propose a counterpart algorithm for EV charging, and validate the expression by testing the algorithm under different varying parameters.