A Charging Scheduling System for Electric Vehicles using Vehicle-to-Grid

被引:2
|
作者
Breum, Nicklas K. [1 ]
JOrgensen, Martin N. [1 ]
Knudsen, Christian A. [1 ]
Kristensen, Larke B. [1 ]
Yang, Bin [1 ]
机构
[1] Aalborg Univ, Dept Comp Sci, Aalborg, Denmark
关键词
D O I
10.1109/MDM.2019.00-36
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity demand. Under this setting, the so-called vehicle-to-grid technology, which enables electric vehicles to sell electricity back to the power grid, appears to be an effective mean to reduce the charging costs for electric vehicles. We demonstrate a system that makes optimal scheduling for electric vehicle fleet owners using vehicle-to-grid. The principle of the scheduling is to charge electric vehicles when electricity is cheap and sell electricity back to the power grid when it is expensive, while making sure that the electric vehicles are sufficiently charged when they need to be used, e. g., 8 am in the morning. The system is integrated as part of aSTEP, a spatio-temporal data analytics platform developed at Aalborg University. In collaboration with a transportation-as-a-service company in Denmark, the system is tested through a use case that involves an electric vehicle fleet.
引用
收藏
页码:351 / 352
页数:2
相关论文
共 50 条
  • [1] Vehicle-to-grid communication system for electric vehicle charging
    Lim, Yujin
    Kim, Hak-Man
    Kang, Sanggil
    Kim, Tai-Hoon
    [J]. INTEGRATED COMPUTER-AIDED ENGINEERING, 2012, 19 (01) : 57 - 65
  • [2] Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling
    Zhang, Shiyao
    Yu, James J. Q.
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (08): : 6047 - 6057
  • [3] Vehicle-to-Grid Charging Optimization of Electric Vehicle
    Kim, Hyunsup
    Myeong, Hanseung
    Park, Inseok
    Choi, Jae Hyuk
    Kim, Kyoungjoo
    [J]. 2020 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), 2020, : 1048 - 1053
  • [4] Combining photovoltaic energy with electric vehicles, smart charging and vehicle-to-grid
    Fattori, Fabrizio
    Anglani, Norma
    Muliere, Giuseppe
    [J]. SOLAR ENERGY, 2014, 110 : 438 - 451
  • [5] Combining photovoltaic energy with electric vehicles, smart charging and vehicle-to-grid
    Fattori, Fabrizio
    Anglani, Norma
    Muliere, Giuseppe
    [J]. Solar Energy, 2014, 110 : 438 - 451
  • [6] Combining photovoltaic energy with electric vehicles, smart charging and vehicle-to-grid
    Fattori, Fabrizio
    Anglani, Norma
    Muliere, Giuseppe
    [J]. Solar Energy, 2014, 110 : 438 - 451
  • [7] Charging Scheduling of Electric Vehicle Incorporating Grid-to-Vehicle and Vehicle-to-Grid Technology Considering in Smart Grid
    Das, Sourav
    Acharjee, Parimal
    Bhattacharya, Aniruddha
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (02) : 1688 - 1702
  • [8] Electric Vehicles Charging Management Using Machine Learning Considering Fast Charging and Vehicle-to-Grid Operation
    Shibl, Mostafa
    Ismail, Loay
    Massoud, Ahmed
    [J]. ENERGIES, 2021, 14 (19)
  • [9] Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach
    Maeng, Julie
    Min, Daiki
    Kang, Yuncheol
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 36
  • [10] Electric Vehicles and the Vehicle-to-grid Technology
    Tu Yiyun
    Bian Xiaoyan
    Li Can
    Cheng Lin
    Li Hongzhong
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 4361 - +