Smart Vehicle-to-Grid Operation of Power System based on EV User Behavior

被引:0
|
作者
Shin, Gwang-Su [3 ]
Kim, Ho-Young [3 ]
Mahseredjian, Jean [1 ]
Kim, Chul-Hwan [2 ]
机构
[1] Polytech Montreal, Dept Elect Engn, Montreal, PQ, Canada
[2] Sungkyunkwan Univ, Dept Elect & Elect Engn, Suwon, South Korea
[3] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea
基金
新加坡国家研究基金会;
关键词
Economic dispatch; Electrical vehicle; Optimal power flow; Renewable energy source; Vehicle-to-Grid; ECONOMIC-DISPATCH;
D O I
10.1007/s42835-024-01797-9
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
The power system is becoming increasingly complex due to the rise of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), making it more challenging to maintain supply-demand balance. Relying on day-ahead power market planning has limitations in addressing the volatility caused by RESs, resulting in unnecessary reserve capacity consumption. The optimal utilization of flexible resources, including Energy Storage Systems (ESSs), is crucial to tackle these issues. Economic Dispatch (ED) plays a vital role in power system operation and planning, which has become even more significant with the growth of RESs and the widespread adoption of EVs. It introduces dynamic loads due to varying user behaviors, posing operational challenges for the power system. The integration of EVs into the grid through Vehicle-to-Grid (V2G) technology is becoming increasingly important. This paper proposes a comprehensive solution for day-ahead and real-time application, considering the interconnection between EVs and RESs. It presents methods utilizing V2G to minimize operational costs in power systems.
引用
收藏
页码:2941 / 2952
页数:12
相关论文
共 50 条
  • [21] Modelling, evaluation and optimization of vehicle-to-grid operation
    Gao S.
    Chau K.T.
    Chan C.C.
    Wu D.
    World Electric Vehicle Journal, 2011, 4 (01): : 809 - 817
  • [22] Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid
    Jian, Linni
    Zheng, Yanchong
    Xiao, Xinping
    Chan, C. C.
    APPLIED ENERGY, 2015, 146 : 150 - 161
  • [23] Capacity Management of Vehicle-to-Grid System for Power Regulation Services
    Lam, Albert Y. S.
    Leung, Ka-Cheong
    Li, Victor O. K.
    2012 IEEE THIRD INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2012, : 442 - 447
  • [24] Research on Vehicle-to-grid Process Based on System Dynamics
    Cheng H.
    Shang Z.
    Guo Y.
    Kang C.
    Zeng W.
    Dianwang Jishu/Power System Technology, 2021, 45 (10): : 4125 - 4133
  • [25] Optimal Operation of Vehicle-to-Grid and Grid-to-Vehicle Systems Integrated with Renewables
    Dabbagh, Saeed Rahmani
    Sheikh-El-Eslami, Mohammad Kazem
    Borghetti, Alberto
    2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
  • [26] Fair Energy Scheduling in Vehicle-to-Grid Networks in the Smart Grid
    Zhong, Weifeng
    Yu, Rong
    Zhang, Yan
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 4246 - 4251
  • [27] Conversion System for Grid-to-Vehicle and Vehicle-to-Grid Applications
    Marinho, Diogo
    Chaves, Miguel
    Gamboa, Paulo
    Lopes, Jose
    JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2020, 17 (01)
  • [28] Design and simulation of a vehicle-to-grid system
    Castellan, Simone
    Blasuttigh, Nicola
    Menis, Roberto
    Pavan, Alessandro Massi
    Mezzarobba, Mario
    Buja, Giuseppe
    2020 6TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS 2020), 2020, : 69 - 74
  • [29] Impacts of Integrating Topology Reconfiguration and Vehicle-to-Grid Technologies on Distribution System Operation
    Guo, Zhaomiao
    Zhou, Zhi
    Zhou, Yan
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (02) : 1023 - 1032
  • [30] Smart vehicle-to-grid integration strategy for enhancing distribution system performance and electric vehicle profitability
    Abdelfattah, Wael
    Abdelhamid, Ahmed Sayed
    Hasanien, Hany M.
    Rashad, Basem Abd- Elhamed
    ENERGY, 2024, 302