Packetized Plug-In Electric Vehicle Charge Management

被引:67
|
作者
Rezaei, Pooya [1 ]
Frolik, Jeff [1 ]
Hines, Paul D. H. [1 ]
机构
[1] Univ Vermont, Sch Engn, Burlington, VT 05405 USA
基金
美国安德鲁·梅隆基金会; 美国国家科学基金会;
关键词
Communication systems; plug-in electric vehicles; smart charging; IMPACTS;
D O I
10.1109/TSG.2013.2291384
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Plug-in electric vehicle (PEV) charging could cause significant strain on residential distribution systems, unless technologies and incentives are created to mitigate charging during times of peak residential consumption. This paper describes and evaluates a decentralized and "packetized" approach to PEV charge management, in which PEV charging is requested and approved for time-limited periods. This method, which is adapted from approaches for bandwidth sharing in communication networks, simultaneously ensures that constraints in the distribution network are satisfied, that communication bandwidth requirements are relatively small, and that each vehicle has fair access to the available power capacity. This paper compares the performance of the packetized approach to an optimization method and a first-come, first-served (FCFS) charging scheme in a test case with a constrained 500 kVA distribution feeder and time-of-use residential electricity pricing. The results show substantial advantages for the packetized approach. The algorithm provides all vehicles with equal access to constrained resources and attains near optimal travel cost performance, with low complexity and communication requirements. The proposed method does not require that vehicles report or record driving patterns, and thus provides benefits over optimization approaches by preserving privacy and reducing computation and bandwidth requirements.
引用
收藏
页码:642 / 650
页数:9
相关论文
共 50 条
  • [11] Plug-in electric vehicle resource center
    Chiladakis, Lisa
    Meuser, Melissa
    World Electric Vehicle Journal, 2012, 5 (04): : 989 - 992
  • [12] Battery state of charge management strategies for a real-time controller of a Plug-in Hybrid Electric Vehicle
    Caramia, Gabriele
    Cavina, Nicolo
    Caggiano, Michele
    Patassa, Stefano
    Moro, Davide
    ATI 2018 - 73RD CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION, 2018, 148 : 258 - 265
  • [13] Design of Plug-in Hybrid Electric Vehicle with State of Charge Estimation using MATLAB
    Shastri D.S.
    Mahajan M.R.
    Chaudhari N.B.
    Patil N.K.
    Karandikar K.V.
    Bhatkar V.W.
    International Journal of Vehicle Structures and Systems, 2024, 16 (02) : 249 - 255
  • [14] Optimizing plug-in electric vehicle and vehicle-to-grid charge scheduling to minimize carbon emissions
    Hoehne, Christopher G.
    Chester, Mikhail V.
    ENERGY, 2016, 115 : 646 - 657
  • [15] Plug-in Electric Vehicle Optimization and Management Charging in a Smart Parking Lot
    Shamsdin, Seyed Hamidreza
    Seifi, Alireza
    Rostami-Shahrbabaki, Majid
    Rahrovi, Babak
    2019 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2019,
  • [16] Plug-in electric vehicle charging management via a distributed neurodynamic algorithm
    Zhao, You
    He, Xing
    Yao, Yao
    Huang, Junjian
    APPLIED SOFT COMPUTING, 2019, 80 : 557 - 566
  • [17] Adaptive intelligent energy management system of plug-in hybrid electric vehicle
    Khayyam, Hamid
    Bab-Hadiashar, Alireza
    ENERGY, 2014, 69 : 319 - 335
  • [18] Distribution System Congestion Management by Charging Coordination of Plug-in Electric Vehicle
    Deb, Subhasish
    Goswami, Amp Kumar
    Chetri, Rahul Lamichane
    Roy, Rajesh
    2020 3RD INTERNATIONAL CONFERENCE ON ENERGY, POWER AND ENVIRONMENT: TOWARDS CLEAN ENERGY TECHNOLOGIES (ICEPE 2020), 2021,
  • [19] Decoupled Power Management Strategy for a Plug-in Hybrid Electric Vehicle with AMT
    Wang Z.
    Guo H.
    Sun Q.
    Shangguan J.
    Journal of Beijing Institute of Technology (English Edition), 2017, 26 : 106 - 111
  • [20] Impact of plug-in hybrid electric vehicle charging/discharging management on a microgrid
    Kaveh, Kiamars
    Hakimi, Seyed Mehdi
    Moghaddas-Tafreshi, Seyed Masoud
    Naseri, Fazllolah
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2014, 22 (04) : 825 - 839