John W. Heron
Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation
Heron, John W.; Sun, Hongjian; Alizadeh‐Mousavi, Omid; Crossland, Andrew
Authors
Abstract
Growing penetration of Electric Vehicles (EV) and Distributed Generation (DG) is driving sharper peaks in demand and supply, which, if poorly managed, manifest as over- or undervoltage and disrupt grid service quality. Smart charging schemes reschedule EV charging load according to factors such as grid stability, price signals, etc. It remains unclear how to do this while meeting the diverging needs and expectations of multiple concerned participants. This paper proposes two smart charging schemes for secondary voltage control in the distribution network and analyses performance-cost trade-offs relating to key players in the Smart Grid. To support these schemes, a distributed communications architecture is designed that jointly minimises traffic burden, computation load and investment in Information and Communications Technology (ICT) hardware. Scheme I (Smart Curtailment), curtails load and DG for peak shaving. Scheme II (Smart Correction) optimises cost-efficiency for subscribing users by maximising power transfer during off-peak hours or when renewable energy is high. Performance of both schemes is consolidated statistically under almost 6 months of practical input profiles. Dramatic improvements in EV & DG capacity are demonstrated and key performance-cost trade-offs relating to Voltage Control, Peak Shaving, User Inconvenience, CO2 Emissions and ICT Deployment Cost are identified.
Citation
Heron, J. W., Sun, H., Alizadeh‐Mousavi, O., & Crossland, A. (2021). Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation. IET Smart Grid, 4(6), 561-581. https://doi.org/10.1049/stg2.12041
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 24, 2021 |
Online Publication Date | May 24, 2021 |
Publication Date | 2021-12 |
Deposit Date | Sep 6, 2021 |
Publicly Available Date | Sep 6, 2021 |
Journal | IET Smart Grid |
Print ISSN | 2515-2947 |
Electronic ISSN | 2515-2947 |
Publisher | Institution of Engineering and Technology (IET) |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Issue | 6 |
Pages | 561-581 |
DOI | https://doi.org/10.1049/stg2.12041 |
Public URL | https://durham-repository.worktribe.com/output/1235692 |
Files
Published Journal Article (Early View)
(2.6 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Early View Open Access. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
You might also like
Ultra-Miniaturized In-Band Full-Duplex Implantable Antenna for Wireless Capsule Endoscopy
(2024)
Presentation / Conference Contribution
Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading
(2024)
Presentation / Conference Contribution
Dual‐user joint sensing and communications with time‐divisioned bi‐static radar
(2024)
Journal Article
Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings
(2023)
Presentation / Conference Contribution
Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search