Analysis of AIMD Algorithm for EV Charging

被引：2
|
作者：
Ucer, Emin [1 ]
Kisacikoglu, Mithat C. [1 ]
Yuksel, Murat [2 ]
机构：
[1] Univ Alabama, Tuscaloosa, AL 35487 USA
[2] Univ Cent Florida, Orlando, FL 32816 USA
来源：
E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS | 2019年
关键词：
AIMD; electric vehicles; smart grid; charging control; power distribution system; congestion;
D O I：
10.1145/3307772.3330179
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：436 / 438
页数：3
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