Name
Abstract | ||
|---|---|---|
The scarcity of efficient charging infrastructures has suppressed penetration rate of Electric Vehicles (EVs). This paper mainly focuses on the Fast Charging Station (FCS) placement problem, especially with the elastic demand. We first propose the distance preference and waiting time preference to capture the elastic EV charging demand. Moreover, a fixed-point equation is proposed to illustrate the relationship between serving demand rate and waiting time at station. We further formulate the problem of FCS placement with elastic demand as a bi-level optimization problem. In the upper level, we propose a heuristic algorithm to determine the optimal location of charging stations, with the goal of maximizing overall system profit. In the lower level, queueing theory is utilized to analyze the optimal capacity of each charging station. The sufficient condition for the existence of optimal station capacity is given. Simulation results demonstrate the effectiveness of our approach in improving system profit and reducing demand loss rate. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/GLOCOM.2018.8647556 | IEEE Global Communications Conference |
Field | DocType | ISSN |
Mathematical optimization,Fast charging,Scarcity,Computer science,Charging station,Heuristic (computer science),Price elasticity of demand,Real-time computing,Time preference,Queueing theory,Optimization problem | Conference | 2334-0983 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenkuan Dai | 1 | 2 | 1.10 |
| Yuqing Li | 2 | 54 | 5.93 |
| Xiaoying Gan | 3 | 344 | 48.16 |
| Gongquan Xie | 4 | 0 | 0.34 |