Coordinated Charging Schedule Optimization for Electric Vehicles Considering Travel Characteristics

被引：0
|
作者：
Ge X. [1 ]
Wang B. [1 ]
Yang Y. [2 ]
Yang T. [1 ]
Yin Z. [1 ]
机构：
[1] School of Economics and Management, Chongqing Jiaotong University, Chongqing
[2] School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2024年 / 24卷 / 01期
关键词：
charging scheduling; electric vehicles (EV); genetic algorithm; travel characteristics; urban traffic;
D O I：
10.16097/j.cnki.1009-6744.2024.01.024
中图分类号：
学科分类号：
摘要：
Considering the large-scale imbalance between charging supply and demand and low resource utilization caused by the disorderly charging of electric vehicles (EV), this paper proposes a scheduling optimization strategy for cooperative charging of electric vehicles based on analyzing user travel characteristics. The study uses the economic incentives to change the charging choice of EV users, and coordinates the output power of charging stations at different periods according to the time-of-use electricity price strategy of the power grid. The optimization model of EV cooperative charging scheduling is developed with the goal of maximizing the revenue of charging stations. To reduce the dimension of the solution space and improve the speed of finding the solution, the model is decomposed into the main problem of charging scheduling and the sub-problem of coordinated power allocation of the station. The improved genetic algorithm is used to encode and solve the main problem of the model, and the Gurobi solver is used to solve the sub-problem. The simulation experiments are carried out on both the classic road network and the real road network. The results show that the EV cooperative charging scheduling can improve the utilization rate of charging resources and the benefit of the station. With the increase of scheduling compensation, the effect of station revenue enhancement gradually decreases. Higher peak-valley price difference can motivate charging stations to actively implement charging scheduling and coordinated distribution of charging power in time periods, improve station service rate, and alleviate load fluctuation of the grid. © 2024 Science Press. All rights reserved.
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页码：240 / 252
页数：12
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