Open AccessV2GNet: Robust Blockchain-Based Energy Trading Method and Implementation in Vehicle-to-Grid Network
Author(s) -
Yuxiao Liang,
Zhishang Wang,
Abderazek Ben Abdallah
Publication year - 2022
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2022.3229432
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Nowadays, energy trading policies are revolutionizing the efforts and policies geared toward addressing global carbon emissions and protecting the environment. Smart grids and electric vehicles (EVs) are energy-saving tools for efficient power management. Although EVs can act as both energy consumers and suppliers, the effort required to balance the energy supply and demand in typical centralized trading systems inevitably reduces trading reliability. Another challenge is distributing EVs’ energy rationally to achieve better demand response and energy utilization. To manage the market securely and efficiently, we propose V2GNet a , a blockchain-based energy trading system using the vehicle-to-grid (V2G) network. The system combines a blockchain of energy exchanges (BoE) and a blockchain of EVs (BoEV), with the distinct transmission of energy requests and offers. Furthermore, to consider energy management from an economic viewpoint, we address the attack issue by proposing a robust energy trading ( RET ) algorithm. The proposed system demonstrates high robustness to malicious attacks. Our experimental results show that the RET reduces 30% energy loss when 20% of consumers are attacked. Moreover, malicious exchanges are excluded progressively from the trading market during each trading round. Also, the RET algorithm achieves better energy fulfillment and higher profit compared to state-of-the-art approaches.