Optimizing electric vehicle users' charging behavior in battery swapping mode

被引:80
|
作者
Rao, Rao [1 ]
Zhang, Xingping [1 ]
Xie, Jian [1 ]
Ju, Liwei [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Battery swapping; Charging behavior; Battery discharging; Charging strategy; GRID CONNECTION; DEMAND;
D O I
10.1016/j.apenergy.2015.05.125
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Battery swapping mode (BSM) is an important method of supplying energy to electric vehicles, in which the battery swapping behavior of electric vehicle users affects significantly the charging behavior of the battery swapping station. To determine the impacts of a driver's swapping behavior on the power grid and generation cost, this paper proposes an optimization charging mode (OCM) and simulates the impacts of OCM on the power grid side and generation side. The empirical results indicate that the OCM significantly benefits the power grid and power generators. For the power grid side, OCM is helpful in balancing the power load and decreasing the difference of the peak and valley load. For the generation side, generators will reduce their coal consumption and cost when the OCM is conducted. In addition, OCM can integrate more renewable power into the power grid. Moreover, the empirical results demonstrate that the development of electric vehicle (EV) features scale economy. The benefits of OCM for the power grid side and generation side would be significantly improved with the increase of EV volume. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:547 / 559
页数:13
相关论文
共 50 条
  • [41] What do battery electric vehicle (BEV) users think of the charging infrastructures launched in expressway service areas? Evidence from China
    Ma, Xinwei
    Meng, Yu
    Cui, Hongjun
    Cheng, Long
    Yuan, Yufei
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2024,
  • [42] Optimal power dispatch of a centralised electric vehicle battery charging station with renewables
    Li, Wenjin
    Tan, Xiaoqi
    Sun, Bo
    Tsang, Danny H. K.
    IET COMMUNICATIONS, 2018, 12 (05) : 579 - 585
  • [43] Stochastic planning of electric vehicle charging station integrated with photovoltaic and battery systems
    Yan, Dongxiang
    Ma, Chengbin
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (19) : 4217 - 4224
  • [44] Inventory management of battery swapping and charging stations considering uncertainty
    Wang, Ziqi
    Hou, Sizu
    Guo, Wei
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [45] Future of Electric Vehicle Charging
    Mouli, Gautham Ram Chandra
    Venugopal, Prasanth
    Bauer, Pavol
    2017 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS (EE), 2017,
  • [46] Coordinated dispatch of the wind-thermal power system by optimizing electric vehicle charging
    Zhang, Xizheng
    Zheng, Liang
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4): : S8835 - S8845
  • [47] Agent-Based Modelling of Electric Vehicle Driving and Charging Behavior
    Torres, S.
    Barambones, O.
    Gonzalez de Durana, J. M.
    Marzabal, F.
    Kremers, E.
    Wirges, J.
    2015 23RD MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2015, : 459 - 464
  • [48] Promoting green transportation under the belt and Road Initiative: Locating charging stations considering electric vehicle users' travel behavior
    Xu Ouyang
    Min Xu
    TRANSPORT POLICY, 2022, 116 : 58 - 80
  • [49] Inventory Planning and Real-Time Routing for Network of Electric Vehicle Battery-Swapping Stations
    Ni, Liang
    Sun, Bo
    Tan, Xiaoqi
    Tsang, Danny H. K.
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2021, 7 (02) : 542 - 553
  • [50] Insights into Household Electric Vehicle Charging Behavior: Analysis and Predictive Modeling
    Almaghrebi, Ahmad
    James, Kevin
    Al Juheshi, Fares
    Alahmad, Mahmoud
    ENERGIES, 2024, 17 (04)