Pricing model for the charging of electric vehicles based on system dynamics in Beijing

被引:43
|
作者
Zhang, Xingping [1 ,2 ]
Liang, Yanni [1 ]
Liu, Wenfeng [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Res Ctr Beijing Energy Dev, Beijing 102206, Peoples R China
基金
中国国家社会科学基金; 北京市自然科学基金; 中国国家自然科学基金;
关键词
Electric vehicles; Greenhouse gas emissions; Real-time charge pricing; System dynamics; DEMAND; MANAGEMENT; PATTERNS; BEHAVIOR; STRATEGY; IMPACTS;
D O I
10.1016/j.energy.2016.12.057
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper proposes a system dynamics model to develop a real-time charge pricing (RCP) mechanism of electric vehicles (EVs). The model includes six modules: power consumption of EVs, generator set dispatching, charge pricing, user response, benefit evaluation of all stakeholders and charging stations' life cycle net income. We consider four charge pricing scenarios and design a RCP mechanism for Beijing according to the simulation results. Sensitivity analysis proves that the model is robust, and the increased charging power of EVs is beneficial for charging service operators. The empirical results indicate that RCP based on the peak-valley time-of-use tariff is propitious for the existing development scale of EVs. In addition, the government subsidies are important to drive EV development in the initial period. However, it should be phased out to reduce the financial burden accompanying the amplification of the scale of EVs. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:218 / 234
页数:17
相关论文
共 50 条
  • [1] Measures on Electric Vehicles Charging Piles Based on Beijing haze
    Zeng, Yurong
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT), 2016, 57 : 231 - 234
  • [2] A Comprehensive Pricing-Based Scheme for Charging of Electric Vehicles
    Gupta, Ajay Kumar
    Bhatnagar, Manav R.
    IEEE SYSTEMS JOURNAL, 2023, 17 (03): : 3492 - 3502
  • [3] A Study of Charging Demand Estimation Model of Electric Passenger Vehicles in Beijing
    Zhou, Ruijie
    Ping, Zhendong
    Wang, Guiping
    Li, Li
    Li, Guangze
    Zhang, Bo
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5847 - 5852
  • [4] Online Pricing Mechanism for Electric Vehicles Charging Based on Operational Condition of A Charging Station
    Fan, Honglin
    You, Pengcheng
    Guo, Zhenwei
    Chen, Shibo
    Yang, Zaiyue
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6553 - 6558
  • [5] Control of Charging of Electric Vehicles Through Menu-Based Pricing
    Ghosh, Arnob
    Aggarwal, Vaneet
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (06) : 5918 - 5929
  • [6] Aggregator pricing and electric vehicles charging strategy based on a two-layer deep learning model
    Lin, Hui
    Zhou, Yichen
    Li, Yonggang
    Zheng, Haoyang
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 227
  • [7] A Secure Charging System for Electric Vehicles Based on Blockchain
    Kim, MyeongHyun
    Park, KiSung
    Yu, SungJin
    Lee, JoonYoung
    Park, YoungHo
    Lee, Sang-Woo
    Chung, BoHeung
    SENSORS, 2019, 19 (13)
  • [8] An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing
    Zhang, Lei
    Huang, Zhijia
    Wang, Zhenpo
    Li, Xiaohui
    Sun, Fengchun
    ENERGY, 2024, 299
  • [9] Competitive Charging Station Pricing for Plug-in Electric Vehicles
    Yuan, Wei
    Huang, Jianwei
    Zhang, Ying Jun
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 668 - 673
  • [10] Competitive Charging Station Pricing for Plug-In Electric Vehicles
    Yuan, Wei
    Huang, Jianwei
    Zhang, Ying Jun
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) : 627 - 639