Modeling the temporal and economic feasibility of electric vehicles providing vehicle-to-grid services in the electricity market under different charging scenarios

被引:37
作者
Zheng, Yanchong [1 ,2 ]
Shao, Ziyun [1 ]
Shang, Yitong [2 ,3 ]
Jian, Linni [2 ,3 ]
机构
[1] Guangzhou Univ, Sch Elect & Commun Engn, Guangzhou 510006, Peoples R China
[2] Southern Univ Sci, Technol Jiaxing Res Inst, Jiaxing 314000, Peoples R China
[3] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
关键词
Electric vehicles; Vehicle-to-grid; Electricity markets; Scenario analysis; V2G; COORDINATION; SYSTEM;
D O I
10.1016/j.est.2023.107579
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
Electric vehicles (EVs) could potentially act as the distributed energy storage devices to provide vehicle-to-grid (V2G) services to benefit the electric power system. Correspondingly, EV users can earn revenue based on the provision of grid services in a market environment. However, EVs would suffer the extra battery degradation incurred by the V2G operation. As such, it is essential to investigate the feasibility of EVs to conduct the V2G operation under different charging scenarios. Compared to existing studies focusing solely on the economic evaluation of V2G operation, this paper investigates the potential of EVs providing V2G services from two perspectives: time availability and economic viability. To this end, two critical indicators, viz., time indicator and economic indicator, are introduced in this paper to model the temporal and economic feasibility of EVs providing grid services to explore the applicable V2G scenarios. In addition, three charging scenarios at home, in work -place, and in fast charging stations (FCSs) are evaluated regarding the feasibility for V2G services. The simulation results reveal that, there is sufficient idle time for those EVs in the home-based and workplace-based charging scenarios and it is profitable to provide V2G services in the electricity market according to the cost-benefit analysis. However, for those EVs with FCS-based charging, it is unlikely for EV users to spend the extra time to conduct the V2G operation due to the fact that the V2G operation will prolong the grid-connection time of EVs.
引用
收藏
页数:9
相关论文
共 35 条
  • [1] [Anonymous], 2021, Global EV Outlook 2021
  • [2] [Anonymous], 2017, National Household Travel Survey
  • [3] Assessment of economic benefits for EV owners participating in the primary frequency regulation markets
    Arias, Nataly Banol
    Hashemi, Seyedmostafa
    Andersen, Peter Bach
    Traeholt, Chresten
    Romero, Ruben
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 120
  • [4] A probabilistic capacity planning methodology for plug-in electric vehicle charging lots with on-site energy storage systems
    Bayram, I. Safak
    Galloway, Stuart
    Burt, Graeme
    [J]. JOURNAL OF ENERGY STORAGE, 2020, 32
  • [5] A comprehensive analysis of Vehicle to Grid (V2G) systems and scholarly literature on the application of such
    Bibak, Bijan
    Tekiner-Mogulkoc, Hatice
    [J]. RENEWABLE ENERGY FOCUS, 2021, 36 : 1 - 20
  • [6] Day ahead optimization of an electric vehicle fleet providing ancillary services in the Los Angeles Air Force Base vehicle-to-grid demonstration
    DeForest, Nicholas
    MacDonald, Jason S.
    Black, Douglas R.
    [J]. APPLIED ENERGY, 2018, 210 : 987 - 1001
  • [7] Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review
    Fachrizal, Reza
    Shepero, Mahmoud
    van der Meer, Dennis
    Munkhammar, Joakim
    Widen, Joakim
    [J]. ETRANSPORTATION, 2020, 4
  • [8] Forman J.C., 2012, 2012 5 ANN DYN SYST
  • [9] Optimal allocation of electric vehicles charging infrastructure, policies and future trends
    Gupta, Rudraksh S.
    Tyagi, Arjun
    Anand, S.
    [J]. JOURNAL OF ENERGY STORAGE, 2021, 43
  • [10] Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
    Hashim, Mohd Syahmi
    Yong, Jia Ying
    Ramachandaramurthy, Vigna K.
    Tan, Kang Miao
    Mansor, Muhamad
    Tariq, Mohd
    [J]. JOURNAL OF ENERGY STORAGE, 2021, 39