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Research on the pricing strategy of park electric vehicle agent considering carbon trading

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  • Wang, Haibing
  • Zheng, Tianhang
  • Sun, Weiqing
  • Khan, Muhammad Qasim

Abstract

The large-scale use of electric vehicles provides the strong support for the realization of the decarbonization in the energy sectors. With the maturity of the carbon trading market, a large number of decentralized electric vehicles play an important role in the carbon market because of their zero emission characteristics. However, how the decentralized electric vehicles participate in the carbon market is a challenge in the present world. For the purpose of reducing the load peak-valley difference and guiding a large number of electric vehicles in the park to charge in an orderly manner, we put forward a pricing strategy for the park electric vehicle agent under the background of “carbon peaking and carbon neutralization”. A two-level Stackelberg game model is developed, in which the upper level maximizes the profits of park electric vehicle agent and the lower level minimizes the charging cost of the electric vehicle owners. The park electric vehicle agent participates in the carbon market by selling the carbon emission allowances owned by electric vehicles in the park to obtain subsidies and increase profits. The optimal pricing strategy of the electric vehicle agent can effectively guide the decentralized electric vehicle users in the park to participate in the electricity and carbon market transactions and reduce the peak-valley load difference. The commercial solver CPLEX based on YALMIP is used to solve the model, and a case study is given to verify the feasibility and validity of the proposed scheme.

Suggested Citation

  • Wang, Haibing & Zheng, Tianhang & Sun, Weiqing & Khan, Muhammad Qasim, 2023. "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, Elsevier, vol. 340(C).
    • Handle: RePEc:eee:appene:v:340:y:2023:i:c:s0306261923003811
    DOI: 10.1016/j.apenergy.2023.121017
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    as
    1. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    2. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying, 2016. "Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 720-732.
    3. McNamara, David & Caulfield, Brian, 2013. "Examining the impact of carbon price changes under a personalised carbon trading scheme for transport," Transport Policy, Elsevier, vol. 30(C), pages 238-253.
    4. Fan, Jin & He, Haonan & Wu, Yanrui, 2016. "Personal carbon trading and subsidies for hybrid electric vehicles," Economic Modelling, Elsevier, vol. 59(C), pages 164-173.
    5. Wang, Lu & Wei, Yi-Ming & Brown, Marilyn A., 2017. "Global transition to low-carbon electricity: A bibliometric analysis," Applied Energy, Elsevier, vol. 205(C), pages 57-68.
    6. Perez-Diaz, Alvaro & Gerding, Enrico & McGroarty, Frank, 2018. "Coordination and payment mechanisms for electric vehicle aggregators," Applied Energy, Elsevier, vol. 212(C), pages 185-195.
    7. Fahd Mohamed Omar Al-Guthmy & Wanglin Yan, 2020. "Mind the gap: personal carbon trading for road transport in Kenya," Climate Policy, Taylor & Francis Journals, vol. 20(9), pages 1141-1160, October.
    8. Haque, A.N.M.M. & Ibn Saif, A.U.N. & Nguyen, P.H. & Torbaghan, S.S., 2016. "Exploration of dispatch model integrating wind generators and electric vehicles," Applied Energy, Elsevier, vol. 183(C), pages 1441-1451.
    9. Wadud, Zia, 2011. "Personal tradable carbon permits for road transport: Why, why not and who wins?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1052-1065.
    10. Till Neeff & Francisco Ascui, 2009. "Lessons from carbon markets for designing an effective REDD architecture," Climate Policy, Taylor & Francis Journals, vol. 9(3), pages 306-315, May.
    11. Chen, Kejia & Ji, Ping, 2007. "A mixed integer programming model for advanced planning and scheduling (APS)," European Journal of Operational Research, Elsevier, vol. 181(1), pages 515-522, August.
    12. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    13. Shafique, Muhammad & Azam, Anam & Rafiq, Muhammad & Luo, Xiaowei, 2022. "Life cycle assessment of electric vehicles and internal combustion engine vehicles: A case study of Hong Kong," Research in Transportation Economics, Elsevier, vol. 91(C).
    14. Charles Raux & Yves Croissant & Damien Pons, 2015. "Would personal carbon trading reduce travel emissions more effectively than a carbon tax?," Post-Print halshs-01099917, HAL.
    15. Faria, Ricardo & Marques, Pedro & Moura, Pedro & Freire, Fausto & Delgado, Joaquim & de Almeida, Aníbal T., 2013. "Impact of the electricity mix and use profile in the life-cycle assessment of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 271-287.
    16. 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.
    17. Woo, C.K. & Chen, Y. & Zarnikau, J. & Olson, A. & Moore, J. & Ho, T., 2018. "Carbon trading’s impact on California’s real-time electricity market prices," Energy, Elsevier, vol. 159(C), pages 579-587.
    18. Charles Raux, 2010. "The potential for CO2 emissions trading in transport: the case of personal vehicles and freight," Post-Print halshs-00566195, HAL.
    19. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    20. Howell, Rachel A., 2012. "Living with a carbon allowance: The experiences of Carbon Rationing Action Groups and implications for policy," Energy Policy, Elsevier, vol. 41(C), pages 250-258.
    21. Yu, Dongmin & Zhu, Haoming & Han, Wenqi & Holburn, Daniel, 2019. "Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system," Energy, Elsevier, vol. 173(C), pages 554-568.
    22. Vicki Duscha & Alexandra Denishchenkova & Jakob Wachsmuth, 2019. "Achievability of the Paris Agreement targets in the EU: demand-side reduction potentials in a carbon budget perspective," Climate Policy, Taylor & Francis Journals, vol. 19(2), pages 161-174, February.
    23. Nie, Qingyun & Zhang, Lihui & Li, Songrui, 2022. "How can personal carbon trading be applied in electric vehicle subsidies? A Stackelberg game method in private vehicles," Applied Energy, Elsevier, vol. 313(C).
    24. Zhou, Bowen & Yao, Feng & Littler, Tim & Zhang, Huaguang, 2016. "An electric vehicle dispatch module for demand-side energy participation," Applied Energy, Elsevier, vol. 177(C), pages 464-474.
    25. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    26. Fawcett, Tina, 2010. "Personal carbon trading: A policy ahead of its time?," Energy Policy, Elsevier, vol. 38(11), pages 6868-6876, November.
    27. Wenxiang Li & Luqi Wang & Ye Li & Bo Liu, 2021. "A blockchain-based emissions trading system for the road transport sector: policy design and evaluation," Climate Policy, Taylor & Francis Journals, vol. 21(3), pages 337-352, March.
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