Quantifying V2G Response Capabilities Considering MV-LV Distribution Network Constraints

被引:0
|
作者
Zhu, Jing [1 ]
Ochoa, Luis F. [1 ]
机构
[1] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Australia
关键词
distribution network; electric vehicle; vehicle-to-grid; system service; response capability;
D O I
10.1109/PESGM52003.2023.10253288
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
Thanks to the development of vehicle-to-grid (V2G) technology, light-duty electric vehicles (EVs) could play a key role in providing system services. However, the aggregated V2G exports might also violate the distribution network thermal and/or voltage constraints. Therefore, distribution companies might establish dynamic limits that EVs/aggregators must follow, thus affecting overall V2G exports. To investigate the achievable V2G response capabilities, this paper proposes a method to create realistic V2G availability profiles and combines it with a heuristic approach to calculate the dynamic export limits per EV. It also explores the benefits of on-load tap changers given the potential voltage issues. The uncertainties of household demand and EV availability/location are considered in a Monte-Carlo based assessment The results, using a real Australian MV-LV network, show that V2G exports need to be limited to ensure distribution network integrity, and that causes a response capability to be significantly affected during the low-demand period.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Topology Evolution Modeling and Analysis of Distribution Network under V2G Mode
    Cao, Yuhang
    Wan, Youhong
    Wu, Yue
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 6060 - 6066
  • [32] Demand Response Capability of V2G Based Electric Vehicles in Distribution Networks
    Liu, Yu
    Gao, Shan
    Zhao, Xin
    Han, Song
    Wang, Haiqian
    Zhang, Qun
    [J]. 2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2017,
  • [33] Software Defined Wi-V2G: A V2G Network Architecture
    Wang, Jintao
    Wang, Zhaowei
    Zeng, Peng
    Jin, Xi
    Li, Dong
    Wan, Ming
    Kong, Fanxin
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 10 (02) : 167 - 179
  • [34] Low-Carbon Scheduling of Integrated Electricity and Gas Distribution System Considering V2G
    Li, Yicheng
    Xu, Lixiong
    Lv, Xiangmei
    Xiao, Yiran
    [J]. ENERGIES, 2022, 15 (24)
  • [35] An EV SRM Drive Powered by Battery/Supercapacitor With G2V and V2H/V2G Capabilities
    Hu, Kai-Wei
    Yi, Pei-Hsun
    Liaw, Chang-Ming
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (08) : 4714 - 4727
  • [36] Bidirectional hybrid controller for V2G/G2V operation on distribution grid
    Mokariya, Kashyap Lilabhai
    Shah, Varsha
    Lokhande, Makrand
    [J]. 2015 IEEE INTERNATIONAL TRANSPORTATION ELECTRIFICATION CONFERENCE (ITEC), 2015,
  • [37] Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation
    Ahmadian, Ali
    Sedghi, Mahdi
    Mohammadi-ivatloo, Behnam
    Elkamel, Ali
    Golkar, Masoud Aliakbar
    Fowler, Michael
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) : 961 - 970
  • [38] A low voltage load balancing distribution method considering street information and V2G technology application
    Lu, Youfei
    Gong, Yushen
    Huang, Chenhui
    Gu, Shaoyuan
    Tong, Jiapeng
    Huang, Wendong
    [J]. Frontiers in Energy Research, 2024, 12
  • [39] V2G Scheduling of Electric Vehicles Considering Wind Power Consumption
    Shang, Bingjie
    Dai, Nina
    Cai, Li
    Yang, Chenxi
    Li, Junting
    Xu, Qingshan
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (09):
  • [40] V2G Hierarchical Grouping Control Considering Users' Behaviour Flexibility
    Xu, Jian
    Wang, Hongbiao
    Wang, Qifan
    Qi, Boyan
    Liu, Yiming
    Wang, Yan
    Yuan, Leidong
    Yu, Qingguang
    [J]. 2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 69 - 75