Analysis Of An Internet-Inspired Ev Charging Network In A Distribution Grid
Abstract
Electric vehicles (EVs) are transforming the modern transportation and energy systems. However, due to increasing battery and charger capacities with long charging times, potential adverse effects on distribution grid will become a crucial problem. Safe and efficient operation of the grid along with a fast, convenient, and fair charging strategy is an important research tackle. In this paper, we analyze the additive increase-multiplicative decrease (AIMD) method used to solve a similar problem occurred in the early days of the Internet and apply it to EV charging using only local measurements. Then, we present a detailed analysis to understand the relationship between distance and charging power in a distribution network to better address the fairness in the proposed AIMD EV charging algorithm.
Publication Date
8-17-2018
Publication Title
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume
2018-April
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TDC.2018.8440252
Copyright Status
Unknown
Socpus ID
85053186979 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85053186979
STARS Citation
Ucer, Emin; Kisaeikoglu, Mithat; and Yuksel, Murat, "Analysis Of An Internet-Inspired Ev Charging Network In A Distribution Grid" (2018). Scopus Export 2015-2019. 7664.
https://stars.library.ucf.edu/scopus2015/7664