Critical behaviour in charging of electric vehicles
- Submitting institution
-
University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 102199
- Type
- D - Journal article
- DOI
-
10.1088/1367-2630/17/9/095001
- Title of journal
- New Journal of Physics
- Article number
- 095001
- First page
- -
- Volume
- 17
- Issue
- 9
- ISSN
- 13672630
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1088/1367-2630/17/9/095001
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper analyses congestion control algorithms (max-flow and proportional fairness) for the management of network capacity on local distribution networks. We consider the effect over time of a fleet of charging electric vehicles and show that the system undergoes a phase transition as the number of vehicles arriving to charge increases. We show the critical point depends on the choice of congestion control algorithm, and that the charging times are considerably more equitable in proportional fairness than in max-flow. The paper was also reviewed in journals from different fields eg Phys.org (September 2015) and in Wissenschaft-Aktuell [in German] (October 2015).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
