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An Application Designed for Guiding the Coordinated Charging of Electric Vehicles

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  • Dingyi Lu

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

  • Yunqian Lu

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

  • Kexin Zhang

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

  • Chuyuan Zhang

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

  • Shao-Chao Ma

    (School of Economics and Management, China University of Geosciences, Beijing 100083, China)

Abstract

Guiding the coordinated charging of electric vehicles can alleviate the load fluctuation of power systems within a local area caused by uncoordinated charging of electric vehicles and greatly reduce the cost of power system operation. This will become an inevitable development trend of future energy system transformation. In this paper, a new mobile application is built to realize the dynamic adjustment of electric vehicle charging prices according to the change in weather conditions to guide the coordinated charging of electric vehicles. After systematically introducing the structure and data flow process of the application, we simulate the fluctuation of charging prices under various weather conditions using the electricity load data of North China and verify the good performance of the application. We believe that this application can help power systems to achieve low-carbon transformation by adopting a new dynamic time-of-use pricing charging model.

Suggested Citation

  • Dingyi Lu & Yunqian Lu & Kexin Zhang & Chuyuan Zhang & Shao-Chao Ma, 2023. "An Application Designed for Guiding the Coordinated Charging of Electric Vehicles," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10758-:d:1189814
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    References listed on IDEAS

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    1. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2017. "When do you charge your electric vehicle? A stated adaptation approach," Energy Policy, Elsevier, vol. 108(C), pages 565-573.
    2. Hu, Zechun & Zhan, Kaiqiao & Zhang, Hongcai & Song, Yonghua, 2016. "Pricing mechanisms design for guiding electric vehicle charging to fill load valley," Applied Energy, Elsevier, vol. 178(C), pages 155-163.
    3. Kim, Jae D., 2019. "Insights into residential EV charging behavior using energy meter data," Energy Policy, Elsevier, vol. 129(C), pages 610-618.
    4. Ma, Shao-Chao & Fan, Ying & Feng, Lianyong, 2017. "An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions," Energy Policy, Elsevier, vol. 110(C), pages 609-618.
    5. Dong, Xiaohong & Mu, Yunfei & Xu, Xiandong & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2018. "A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks," Applied Energy, Elsevier, vol. 225(C), pages 857-868.
    6. Matteo Muratori, 2018. "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," Nature Energy, Nature, vol. 3(3), pages 193-201, March.
    7. Rui Miao & Wenjie Huang & Donghao Pei & Xiyao Gu & Zefeng Li & Jie Zhang & Zhibin Jiang, 2016. "Research on lease and sale of electric vehicles based on value engineering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5361-5380, September.
    8. Ma, Shao-Chao & Xu, Jin-Hua & Fan, Ying, 2019. "Willingness to pay and preferences for alternative incentives to EV purchase subsidies: An empirical study in China," Energy Economics, Elsevier, vol. 81(C), pages 197-215.
    9. Michael Wolinetz & Jonn Axsen & Jotham Peters & Curran Crawford, 2018. "Simulating the value of electric-vehicle–grid integration using a behaviourally realistic model," Nature Energy, Nature, vol. 3(2), pages 132-139, February.
    10. Bachner, Gabriel & Steininger, Karl W. & Williges, Keith & Tuerk, Andreas, 2019. "The economy-wide effects of large-scale renewable electricity expansion in Europe: The role of integration costs," Renewable Energy, Elsevier, vol. 134(C), pages 1369-1380.
    11. Steffen Limmer, 2019. "Dynamic Pricing for Electric Vehicle Charging—A Literature Review," Energies, MDPI, vol. 12(18), pages 1-24, September.
    12. Li, Yang & Vilathgamuwa, Mahinda & Choi, San Shing & Xiong, Binyu & Tang, Jinrui & Su, Yixin & Wang, Yu, 2020. "Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability," Applied Energy, Elsevier, vol. 260(C).
    13. Ma, Shao-Chao & Yi, Bo-Wen & Fan, Ying, 2022. "Research on the valley-filling pricing for EV charging considering renewable power generation," Energy Economics, Elsevier, vol. 106(C).
    14. David R. Keith & Jeroen J.R. Struben & Sergey Naumov, 2020. "The Diffusion of Alternative Fuel Vehicles: A Generalised Model and Future Research Agenda," Journal of Simulation, Taylor & Francis Journals, vol. 14(4), pages 260-277, October.
    15. Jian, Linni & Zheng, Yanchong & Shao, Ziyun, 2017. "High efficient valley-filling strategy for centralized coordinated charging of large-scale electric vehicles," Applied Energy, Elsevier, vol. 186(P1), pages 46-55.
    16. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2019. "Consumer preferences for public charging infrastructure for electric vehicles," Transport Policy, Elsevier, vol. 81(C), pages 54-63.
    17. Su, Wencong & Chow, Mo-Yuen, 2012. "Computational intelligence-based energy management for a large-scale PHEV/PEV enabled municipal parking deck," Applied Energy, Elsevier, vol. 96(C), pages 171-182.
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