Competitive Pricing Strategy for the Wireless Charging Lane Operator Considering Range Anxiety of Electric Vehicle Users

被引:0
作者
Lai, Shuying [1 ,2 ]
Dong, Zhao Yang [3 ]
Qiu, Jing [4 ]
Tao, Yuechuan [3 ]
Zhao, Junhua [5 ,6 ]
Wang, Guibin [7 ]
机构
[1] CAFEA Smart City Ltd, Hong Kong, Peoples R China
[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[3] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
[4] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[5] Chinese Univ Hong Kong Shenzhen, Sch Sci & Engn, Shenzhen 518100, Peoples R China
[6] Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen 518100, Peoples R China
[7] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen 518060, Peoples R China
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Competitive pricing strategy; wireless charging; non-cooperative game; range anxiety; ENERGY; STATIONS; TRANSPORTATION;
D O I
10.1109/TITS.2024.3492182
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
On-road wireless charging is an emerging charging method, in addition to plug-in charging, that is a promising application in the future smart grid. Hence, in this paper, a competitive pricing strategy for the wireless charging lane (WCL) is proposed to maximize the economic benefits of the WCL operator. First, the competitive pricing strategy is formulated based on a non-cooperative game between the WCL operator and the charging station (CS). An iterative optimal pricing searching algorithm is developed to find the Nash equilibrium of the game. Second, a tri-level framework is established to derive the optimal competitive price considering the interaction among the WCL operator, the power distribution network (PDN) operator, and EV users. Third, the range anxiety of EV users is mathematically modeled based on Prospect theory. Numerical results indicate that the pricing strategy is effective in enhancing the attractiveness and profitability of the WCL operator. In addition, the utility of EV users is increased as well. Moreover, the PDN loss cost can be reduced, and downward voltage violation can be avoided.
引用
收藏
页码:2187 / 2201
页数:15
相关论文
共 48 条
  • [1] Mobile charging stations for EV charging management in urban areas: A case study in Chattanooga
    Afshar, Shahab
    Pecenak, Zachary K.
    Barati, Masoud
    Disfani, Vahid
    [J]. APPLIED ENERGY, 2022, 325
  • [2] Optimal Pricing of Public Electric Vehicle Charging Stations Considering Operations of Coupled Transportation and Power Systems
    Cui, Yan
    Hu, Zechun
    Duan, Xiaoyu
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (04) : 3278 - 3288
  • [3] Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile
    Deilami, Sara
    Masoum, Amir S.
    Moses, Paul S.
    Masoum, Mohammad A. S.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2011, 2 (03) : 456 - 467
  • [4] A Survey on Human-Centric Communications in Non-Cooperative Wireless Relay Networks
    Jedari, Behrouz
    Xia, Feng
    Ning, Zhaolong
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (02): : 914 - 944
  • [5] Prospect Theory-Based Active Consumer Behavior Under Variable Electricity Pricing
    Jhala, Kumarsinh
    Natarajan, Balasubramaniam
    Pahwa, Anil
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (03) : 2809 - 2819
  • [6] Multipopulation Aggregative Games: Equilibrium Seeking via Mean-Field Control and Consensus
    Kebriaei, Hamed
    Sadati-Savadkoohi, S. Jafar
    Shokri, Mohammad
    Grammatico, Sergio
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (12) : 6011 - 6016
  • [7] Dynamic Pricing, Scheduling, and Energy Management for Profit Maximization in PHEV Charging Stations
    Kim, Yeongjin
    Kwak, Jeongho
    Chong, Song
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (02) : 1011 - 1026
  • [8] LAI S, 2022, IEEE T SMART GRID, P1, DOI DOI 10.1109/TSG.2022.3188832
  • [9] Charging/Refueling Navigation Strategies for Plug-in Hybrid Hydrogen and Electric Vehicles With Irrationalities and Energy Substitution
    Lai, Shuying
    Qiu, Jing
    Tao, Yuechuan
    Sun, Xianzhuo
    Zhao, Junhua
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (01) : 583 - 595
  • [10] Pricing Strategy for Energy Supplement Services of Hybrid Electric Vehicles Considering Bounded-Rationality and Energy Substitution Effect
    Lai, Shuying
    Qiu, Jing
    Tao, Yuechuan
    Zhao, Junhua
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (04) : 2973 - 2985