Power Scheduling Scheme for a Charging Facility Considering the Satisfaction of Electric Vehicle Users

被引:9
|
作者
Kim, Jangkyum [1 ]
Lee, Joohyung [2 ]
Park, Sangdon [1 ]
Choi, Jun Kyun [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea
[2] Gachon Univ, Sch Comp, Seongnam 13120, South Korea
基金
新加坡国家研究基金会;
关键词
Costs; Electric vehicle charging; Vehicle-to-grid; Job shop scheduling; Transforms; Schedules; Games; Electric vehicles; electricity market; power scheduling; smart grids; Stackelberg game; GOODNESS-OF-FIT; OPERATION; ENERGY; MODEL; STATIONS;
D O I
10.1109/ACCESS.2022.3151355
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a novel user-preference-aware power scheduling scheme for application at an electric vehicle (EV) charging facility. Here, the preference of the EV user is characterized as a utility function by considering two different factors: 1) a satisfaction factor according to the charged energy, and 2) payment for the received charging service. As a key component of the power scheduling method, this paper proposes a two-stage power charging method and analyzes the advantage of the proposed method from a monetary perspective. In addition, this paper analyzes the economic benefits of a charging facility and EVs using the single-leader, multi-follower Stackelkberg game. By showing the existence of a unique best response for each participant, this paper presents the improvement of financial profit of EV users and charging facility through comparison with the case where the charging facility does not apply a proper power management scheme. Based on the actual world datasets, this paper shows that the proposed power scheduling scheme is feasible for actual environment. With satisfying the constraints, it is possible to reduce overall electricity cost up to 8.59% compared to the case without considering the peak power in EV charging facility.
引用
收藏
页码:25153 / 25164
页数:12
相关论文
共 50 条
  • [41] Optimal Sizing of Electric Vehicle Charging Stacks Considering a Multiscenario Strategy and User Satisfaction
    Zhou, Yinghong
    Yang, Weihao
    Yang, Zhijing
    Chen, Ruihan
    [J]. ELECTRONICS, 2024, 13 (16)
  • [42] Optimal Electric Vehicle Scheduling in Residential Distribution Networks Considering Customer Charging Preferences
    Le Cam, Mailys
    Zehir, M. Alparslan
    Hayes, Barry
    [J]. 2021 IEEE MADRID POWERTECH, 2021,
  • [43] Electric Vehicle Charging and Discharging Scheduling Considering Reserve Call-Up Service
    Han, Bing
    Lu, Shaofeng
    Xue, Fei
    Jiang, Lin
    [J]. 2017 INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2017,
  • [44] Understanding charging behaviour of electric vehicle users
    Franke, Thomas
    Krems, Josef F.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2013, 21 : 75 - 89
  • [45] Optimal Collaborative Scheduling of Wind Power Operators and Electric Vehicle Charging Stations Considering Distributed Renewable Energy Trading
    Chen X.
    Wang X.
    Chen J.
    Zhu Z.
    Zhang L.
    Liu H.
    [J]. Dianwang Jishu/Power System Technology, 2023, 47 (11): : 4598 - 4606
  • [46] Optimal Temporal-spatial Electric Vehicle Charging Demand Scheduling Considering Transportation-Power Grid Couplings
    Sun, Siyang
    Yang, Qiang
    Yan, Wenjun
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [47] Electric Bus Scheduling Considering Limited Charging Facility Capacity for Large-Scale Operation
    Jiang, Mengyan
    Zhang, Yi
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (09)
  • [48] The Impact of Considering State-of-Charge-Dependent Maximum Charging Powers on the Optimal Electric Vehicle Charging Scheduling
    Qian, Kun
    Fachrizal, Reza
    Munkhammar, Joakim
    Ebel, Thomas
    Adam, Rebecca C.
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2023, 9 (03) : 4517 - 4530
  • [49] A Novel Genetic Algorithm-based Emergent Electric Vehicle Charging Scheduling Scheme
    Ren Junming
    Wang, Hao
    Wei, Yang
    Liu, Yucheng
    Tsang, Kim Fung
    Lai, Loi Lei
    Chung, Lee Chi
    [J]. 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 4289 - 4292
  • [50] Electric vehicle charging load prediction considering the orderly charging
    Tian, Jiang
    Lv, Yang
    Zhao, Qi
    Gong, Yucheng
    Li, Chun
    Ding, Hongen
    Yu, Yu
    [J]. ENERGY REPORTS, 2022, 8 : 124 - 134