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Charge Pricing Optimization Model for Private Charging Piles in Beijing

Author

Listed:
  • Xingping Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Research Center for Beijing Energy Development, Beijing 102206, China)

  • Yanni Liang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yakun Zhang

    (Ministry of Industry and Information Technology, Beijing 100804, China)

  • Yinhe Bu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Hongyang Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

This paper develops a charge pricing model for private charging piles (PCPs) by considering the environmental and economic effects of private electric vehicle (PEV) charging energy sources and the impact of PCP charging load on the total load. This model simulates users’ responses to different combinations of peak-valley prices based on the charging power of PCPs and user charging transfer rate. According to the regional power structure, it calculates the real-time coal consumption, carbon dioxide emissions reduction, and power generation costs of PEVs on the power generation side. The empirical results demonstrate that the proposed peak-valley time-of-use charging price can not only minimize the peak-valley difference of the total load but also improve the environmental effects of PEVs and the economic income of the power system. The sensitivity analysis shows that the load-shifting effect of PCPs will be more obvious when magnifying the number of PEVs by using the proposed charging price. The case study indicates that the proposed peak, average, and valley price in Beijing should be 1.8, 1, and 0.4 yuan/kWh, which can promote the large-scale adoption of PEVs.

Suggested Citation

  • Xingping Zhang & Yanni Liang & Yakun Zhang & Yinhe Bu & Hongyang Zhang, 2017. "Charge Pricing Optimization Model for Private Charging Piles in Beijing," Sustainability, MDPI, vol. 9(11), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2075-:d:118455
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    References listed on IDEAS

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    1. Changhong Deng & Ning Liang & Jin Tan & Gongchen Wang, 2016. "Multi-Objective Scheduling of Electric Vehicles in Smart Distribution Network," Sustainability, MDPI, vol. 8(12), pages 1-15, November.
    2. Shang, Duo (Rick) & Sun, Guodong, 2016. "Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?," Energy Policy, Elsevier, vol. 95(C), pages 402-410.
    3. 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.
    4. 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.
    5. Yanni Liang & Xingping Zhang & Jian Xie & Wenfeng Liu, 2017. "An Optimal Operation Model and Ordered Charging/Discharging Strategy for Battery Swapping Stations," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    6. Finn, P. & Fitzpatrick, C. & Connolly, D., 2012. "Demand side management of electric car charging: Benefits for consumer and grid," Energy, Elsevier, vol. 42(1), pages 358-363.
    7. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    8. Zhang, Xingping & Liang, Yanni & Liu, Wenfeng, 2017. "Pricing model for the charging of electric vehicles based on system dynamics in Beijing," Energy, Elsevier, vol. 119(C), pages 218-234.
    9. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
    10. Zhang, Lei & Li, Yaoyu, 2017. "Regime-switching based vehicle-to-building operation against electricity price spikes," Energy Economics, Elsevier, vol. 66(C), pages 1-8.
    11. Dallinger, David & Wietschel, Martin, 2012. "Grid integration of intermittent renewable energy sources using price-responsive plug-in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3370-3382.
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    Cited by:

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    2. Jianan Liu & Hao Yu & Haoran Ji & Kunpeng Zhao & Chaoxian Lv & Peng Li, 2020. "Optimal Operation Strategy of a Community Integrated Energy System Constrained by the Seasonal Balance of Ground Source Heat Pumps," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
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    5. Li, Yanbin & Wang, Jiani & Wang, Weiye & Liu, Chang & Li, Yun, 2023. "Dynamic pricing based electric vehicle charging station location strategy using reinforcement learning," Energy, Elsevier, vol. 281(C).

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