Analysis of the State-Dependent Queueing Model and Its Application to Battery Swapping and Charging Stations

Sustainability

DooIl Choi¹  Dae-Eun Lim² 

[1] Department of Applied Mathematics, Halla University, 28 Halla University-gil, Wonju-si, Gangwon-do 26404, Korea;Department of Industrial Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Korea;

关键词: congestion control;    leaky bucket;    finite queueing model;    electric vehicles;    battery swapping and charging station;    cost analysis;   

DOI  :  10.3390/su12062343

来源: DOAJ

【 摘 要 】

This study analyzes the performance of a queue length-dependent overload control policy using a leaky bucket (LB) scheme. This queueing model is applied to the operation of a battery swapping and charging station for electric vehicles (EVs). In addition to the LB scheme, we propose two congestion control policies based on EV queue length thresholds. With these policies, the model determines both EV-arrival and battery-supply intervals, and these depend on the number of EVs waiting in the queue. The queue length distributions, including those at arbitrary epochs, are derived using embedded Markov chain and supplementary variable methods. Performance measures such as blocking probability and mean waiting time are investigated using numerical examples. We study the characteristics of the system using numerical examples and use a cost analysis to investigate situations in which the application of each congestion control policy is advantageous.

【 授权许可】

Unknown