Estimation of Capacity for Charging Electric Vehicles

被引:0
|
作者
Chen, Xi [1 ]
Crossley, Peter [1 ]
Cotton, Ian [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
关键词
Electric Vehicles; Power System Dynamics; Power System Modeling; Power System Simulation; Power Transformer;
D O I
暂无
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
The growing consciousness for increased environment protection has made Electric Vehicles (EV) a more attractive and practical alternative to the internal combustion engine car. The increasing number of EVs connected to power systems for charging will have a significant impact on the operating performance of power systems. This paper proposes a methodology to determine the maximum number of EVs that can be charged by estimating the loading capacity of a transformer. The EVs are charged according to users driving requirements while respecting the constraints of the local distribution network. Analysis of transformer dynamic thermal performance is used to determine the maximum allowable load on a transformer. Results show that more EVs can be charged when using the dynamic thermal rating rather than the static thermal rating. The estimated capacity indicates the maximum number of EVs that can be charged, if the normal operation of the power system must be maintained.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] Location and Capacity Planning of Electric Vehicles Charging Piles
    Yi Shimin
    Sun Yunlian
    Zhang Xiaodi
    Wu Ying
    Hu Jinlei
    Zou Qiwu
    Xie Xinlin
    Fu Bin
    [J]. 2019 THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2019), 2019, 533
  • [2] Scheduling of Charging Electric Vehicles based on Battery Capacity
    Mejjaouli, S.
    Alnourani, S.
    Guizani, S.
    [J]. 2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2023, : 1352 - 1357
  • [3] An Adaptive Battery Capacity Estimation Method Suitable for Random Charging Voltage Range in Electric Vehicles
    Zhang, Chenghui
    Kang, Yongzhe
    Duan, Bin
    Zhou, Zhongkai
    Zhang, Qi
    Shang, Yunlong
    Chen, Alian
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (09) : 9121 - 9132
  • [4] Charging electric vehicles
    Fisher, Tony
    [J]. Engineering and Technology, 2010, 5 (14):
  • [5] Electric Vehicles Charging Technology Review and Optimal Size Estimation
    Morris Brenna
    Federica Foiadelli
    Carola Leone
    Michela Longo
    [J]. Journal of Electrical Engineering & Technology, 2020, 15 : 2539 - 2552
  • [6] Electric Vehicles Charging Technology Review and Optimal Size Estimation
    Brenna, Morris
    Foiadelli, Federica
    Leone, Carola
    Longo, Michela
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (06) : 2539 - 2552
  • [7] Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles
    Fernandez, I. J.
    Calvillo, C. F.
    Sanchez-Miralles, A.
    Boal, J.
    [J]. ENERGY, 2013, 60 : 35 - 43
  • [8] Decentralized Charging Coordination of Electric Vehicles Under Feeder Capacity Constraints
    Martinez-Piazuelo, Juan
    Quijano, Nicanor
    Ocampo-Martinez, Carlos
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2022, 9 (04): : 1600 - 1610
  • [9] Study on Battery Charging Strategy of Electric Vehicles Considering Battery Capacity
    Jeon, Seoung Uk
    Park, Jung-Wook
    Kang, Byung-Kwan
    Lee, Hee-Jin
    [J]. IEEE ACCESS, 2021, 9 : 89757 - 89767
  • [10] On Distributed Charging Control of Electric Vehicles with Power Network Capacity Constraints
    Ma, Wann-Jiun
    Gupta, Vijay
    Topcu, Ufuk
    [J]. 2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 4306 - 4311