A Lightweight and Secure Energy Trading Framework for Electric Vehicles

被引:2
|
作者
Javaid, Uzair [1 ]
Sikdar, Biplab [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
关键词
Electric vehicles; energy trading; blockchain;
D O I
10.1109/SeFet48154.2021.9375754
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent advancements in smart grids (SGs) have introduced Vehicle-to-Grid (V2G) networks as an emerging technology for electric power distribution networks. V2G provides more sophisticated energy trading by enabling bi-directional How of electricity as well as communication channels between SGs and the electric vehicles (EVs). However, due to the huge daily volumes of trading data, the underlying V2G infrastructure suffers from scalability and security challenges. Therefore, new design principles are favorable to realize next generation of V2G networks. As distributed energy information networks are amongst the key desiderata of future power grids, the blockchain technology shows promising potential to facilitate decentralized power generation and local energy trading. Thus, we propose a framework that uses the distributed ledger and Public Key Infrastructure (PKI) of a blockchain with a dynamic Proof-of-Work (dPoW) consensus for secure V2G energy trading. The ledger functions to execute transactions and thereafter, log them in the blockchain. With PKI, an authentication mechanism for EVs is established, whereas dPoW supports varying mining difficulty levels for a high throughput rate. To demonstrate the feasibility of our framework, security and performance analyses are presented, where the designed framework has been realized to preserve the privacy of EVs, support minimal computational overhead, and facilitate scalability in V2G networks.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Energy Trading of Electric Vehicles using Blockchain and Smart Contracts
    Asfia, U.
    Kamuni, V.
    Sheikh, A.
    Wagh, S.
    Patel, D.
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 3958 - 3963
  • [22] Blockchain for Electric Vehicles Energy Trading: Requirements, Opportunities, and Challenges
    Al-Saif, Nasser
    Ahmad, Raja Wasim
    Salah, Khaled
    Yaqoob, Ibrar
    Jayaraman, Raja
    Omar, Mohammed
    IEEE ACCESS, 2021, 9 : 156947 - 156961
  • [23] Optimal Energy Trading for Building Microgrid with Electric Vehicles and Renewable Energy Resources
    Duong Tung Nguyen
    Le, Long Bao
    2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2014,
  • [24] Blockchain and Quantum Machine Learning Driven Energy Trading for Electric Vehicles
    Kashyap, Pankaj Kumar
    Dohare, Upasana
    Kumar, Manoj
    Kumar, Sushil
    AD HOC NETWORKS, 2024, 165
  • [25] Double Auction Mechanisms For Dynamic Autonomous Electric Vehicles Energy Trading
    Yassine, Abdulsalam
    Hossain, M. Shamim
    Muhammad, Ghulam
    Guizani, Mohsen
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (08) : 7466 - 7476
  • [26] Energy trading among electric vehicles based on Stackelberg approaches: A review
    Adil, Muhammad
    Mahmud, M. A. Parvez
    Kouzani, Abbas Z.
    Khoo, SuiYang
    SUSTAINABLE CITIES AND SOCIETY, 2021, 75
  • [27] Energy trading with dynamic pricing for electric vehicles in a smart city environment
    Aujla, Gagangeet Singh
    Kumar, Neeraj
    Singh, Mukesh
    Zomaya, Albert Y.
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 127 : 169 - 183
  • [28] Sweet: Secure Wireless Energy Transfer with Electric Vehicles in Vehicular Energy Networks
    Wang, Yuntao
    Su, Zhou
    Zhang, Ning
    Benslimane, Abderrahim
    2020 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2020,
  • [29] Distributed Noncooperative MPC for Energy Scheduling of Charging and Trading Electric Vehicles in Energy Communities
    Mignoni, Nicola
    Carli, Raffaele
    Dotoli, Mariagrazia
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2023, 31 (05) : 2159 - 2172
  • [30] Three-stage energy trading framework for retailers, charging stations, and electric vehicles: A game-theoretic approach
    Adil, Muhammad
    Mahmud, M. A. Parvez
    Kouzani, Abbas Z.
    Khoo, Sui Yang
    ENERGY, 2024, 301