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Blockchain-Enabled Charging Right Trading Among EV Charging Stations

Author

Listed:
  • Ruijiu Jin

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Xiangfeng Zhang

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Zhijie Wang

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

  • Wengang Sun

    (College of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 200235, China)

  • Xiaoxin Yang

    (College of Electronic, Guangxi University, Nanning 530004, China)

  • Zhong Shi

    (College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China)

Abstract

Increasing penetration of electric vehicles (EVs) gives rise to the challenges in the secure operation of power systems. The EV charging loads should be distributed among charging stations in a fair and incentive-compatible manner while ensuring that power transmission and transformation facilities are not overloaded. This paper first proposes a charging right (or charging power ration) trading mechanism and model based on blockchain. Considering all kinds of random factors of charging station loads, we use Monte Carlo modeling to determine the charging demand of charging stations in the future. Based on the charging demand of charging stations, a charging station needs to submit the charging demand for a future period. The blockchain first distributes initial charging right in a just manner and ensures the security of facilities. Given that the charging urgency and elasticity differences vary by charging stations, all charging stations then proceed with double auction and peer-to-peer (P2P) transaction of charging right. Bids and offers are cleared via double auctions if bids are higher than offers. The remaining bids and offers are cleared via the P2P market. Then, this paper designs the charging right allocation and trading platform and smart contract based on the Ethernet blockchain to ensure the safety of the distribution network (DN) and the transparency and efficiency of charging right trading. Simulation results based on the Ethereum private blockchain show the fairness and efficiency of the proposed mechanism and the effectiveness of the method and the mechanism.

Suggested Citation

  • Ruijiu Jin & Xiangfeng Zhang & Zhijie Wang & Wengang Sun & Xiaoxin Yang & Zhong Shi, 2019. "Blockchain-Enabled Charging Right Trading Among EV Charging Stations," Energies, MDPI, vol. 12(20), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3922-:d:277119
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    References listed on IDEAS

    as
    1. Xiang, Yue & Liu, Junyong & Li, Ran & Li, Furong & Gu, Chenghong & Tang, Shuoya, 2016. "Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates," Applied Energy, Elsevier, vol. 178(C), pages 647-659.
    2. Marco Pasetti & Stefano Rinaldi & Alessandra Flammini & Michela Longo & Federica Foiadelli, 2019. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs," Energies, MDPI, vol. 12(3), pages 1-20, February.
    3. Awasthi, Abhishek & Venkitusamy, Karthikeyan & Padmanaban, Sanjeevikumar & Selvamuthukumaran, Rajasekar & Blaabjerg, Frede & Singh, Asheesh K., 2017. "Optimal planning of electric vehicle charging station at the distribution system using hybrid optimization algorithm," Energy, Elsevier, vol. 133(C), pages 70-78.
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    Citations

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    Cited by:

    1. Lukáš Dvořáček & Martin Horák & Michaela Valentová & Jaroslav Knápek, 2020. "Optimization of Electric Vehicle Charging Points Based on Efficient Use of Chargers and Providing Private Charging Spaces," Energies, MDPI, vol. 13(24), pages 1-28, December.
    2. Energies Editorial Office, 2020. "Retraction: Jin, R. et al. Blockchain-Enabled Charging Right Trading Among EV Charging Stations. Energies 2019, 12 , 3922," Energies, MDPI, vol. 13(21), pages 1-1, October.

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