Trustworthy
Campus Energy Trading
System [信頼できるキャンパス エネルギー取引システム]
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. This project investigates a
secure block-chain-based energy trading system using
the vehicle-to-grid (V2G) network. The system combines
a blockchain of energy exch
anges and a
blockchain of EVs with the distinct transmission of
energy requests and offers.
-
Y.
Liang, Z. Wang and A. Ben Abdallah, "Robust
Vehicle-to-Grid Energy Trading Method Based on
Smart Forecast and Multi-Blockchain Network,"
in IEEE Access, vol. 12, pp. 8135-8153,
2024, doi:10.1109/ACCESS.2024.3352631
In the present era, energy issues are a
significant concern, and the energy trading market
is the crucial sector to facilitate supply-demand
balance and sustainable development. For better
demand response and grid balancing,
vehicle-to-grid (V2G) technology is rapidly
gaining importance in energy markets. To narrow
the gap between ideal V2G goals and actual
applications needs, energy trading system has to
overcome the challenges of over-centralized
structure, inflexible timeline adaptation, limited
market scale and energy efficiency, excessive
feedback time costs, and low rate of economic
return. To address these issues and ensure a
secure energy market, we propose a decentralized
intelligent V2G system called V2G Forecasting and
Trading Network (V2GFTN) to achieve efficient and
robust energy trading in campus EV networks. A
multiple blockchain structure is proposed in
V2GFTN to ensure trading security and data privacy
between energy requests and offers. V2GFTN also
integrates energy forecasting functions for EVs
with a smart energy trading and EV allocation
mechanism called SRET so that the EVs with driving
tasks can supply their extra power back to the
grid and achieve higher energy efficiency and
economic profit. Through rigorous experimentation
and compared with equivalent studies, V2GFTN
system has demonstrated higher economic profit and
energy demand fill rate by up to 1.6 times and 1.9
times than the state-of-the-art V2G approaches.
-
Y.
Liang, Z. Wang and A. Ben Abdallah, "V2GNet:
Robust Blockchain-Based Energy Trading
Method and Implementation in
Vehicle-to-Grid Network," in IEEE
Access, vol. 10, pp. 131442-131455, 2022,
doi: 10.1109/ACCESS.2022.3229432.
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
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.
 Related
Projects
**産業界か
ら当研究室との共同研究にご興味がございましたら、ベ ン
アブダラ アブデラゼク教授（Eメール：benab@u-aizu.ac.jp）までご連絡ください。
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