Optimal plug‐in hybrid electric vehicle performance management using decentralized multichannel network design

Mousavi, P., Ghazizadeh, M.S. and Vahidinasab, V. ORCID: 0000-0002-0779-8727, 2024. Optimal plug‐in hybrid electric vehicle performance management using decentralized multichannel network design. IET Generation, Transmission and Distribution, 18 (5), pp. 999-1013. ISSN 1751-8687

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Abstract

In addition to providing mobility, plug-in hybrid electric vehicles (PHEVs) provide a two-sided energy exchange opportunity which makes them highly flexible distributed energy storage systems for the future of energy systems. This paper analyzes PHEVs' performance from the perspective of urban traffic and energy using a decentralized multichannel blockchain network based on the hyperledger model. This network using a layered design and local management of energy sources can significantly contribute to urban management and optimal use of its infrastructures. Then, dynamic modelling of PHEVs in this network is performed, and their data is added to the network to evaluate the network performance compared with the current centralized networks. The results indicated that the proposed blockchain network could simultaneously optimize PHEVs' performance, urban traffic management, and energy systems. Furthermore, by utilizing smart contracts, it can consider and optimize multiple challenges, such as congestion in the electricity network, urban traffic, and limited fuel, simultaneously. Therefore, it gives a strong tool to study the impact of mass deployment of PHEVs and their value and role in the sustainable cities and communities of the future while helping to support the global efforts toward affordable and clean energy for all.

Item Type: Journal article
Publication Title: IET Generation, Transmission and Distribution
Creators: Mousavi, P., Ghazizadeh, M.S. and Vahidinasab, V.
Publisher: Institution of Engineering and Technology (IET)
Date: March 2024
Volume: 18
Number: 5
ISSN: 1751-8687
Identifiers:
NumberType
10.1049/gtd2.13109DOI
1870285Other
Rights: © 2024 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 05 Mar 2024 14:27
Last Modified: 05 Mar 2024 14:27
URI: https://irep.ntu.ac.uk/id/eprint/51006

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