The University of Southampton
University of Southampton Institutional Repository

Congestion management for urban EV charging systems

Congestion management for urban EV charging systems
Congestion management for urban EV charging systems
We consider the problem of managing Electric Vehicle (EV) charging at charging points in a city to ensure that the load on the charging points remains within the desired limits while minimizing the inconvenience to EV owners. We develop solutions that treat charging points and EV users as self-interested agents that aim to maximize their profit and minimize the impact on their schedule. In particular, we propose variants of a decentralised and dynamic approach as well as an optimal centralised static approach. We evaluated these solutions in a real setting based on the road network and the location of parking garages of a UK city and show that the optimal centralised (non-dynamic) solution manages the congestion the best but does not scale well, while the decentralised solutions scale to thousands of agents.
978-1-4799-1526-2
Rigas, Emmanouil
984a8265-5232-462e-a80b-0955c7210ab0
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Bassiliades, Nick
46e70a8f-015c-4888-890a-de879c9bff61
Koutitas, Georgios
10f24ef6-5a54-4cc1-bb62-4b78712b9cb4
Rigas, Emmanouil
984a8265-5232-462e-a80b-0955c7210ab0
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Bassiliades, Nick
46e70a8f-015c-4888-890a-de879c9bff61
Koutitas, Georgios
10f24ef6-5a54-4cc1-bb62-4b78712b9cb4

Rigas, Emmanouil, Ramchurn, Sarvapali, Bassiliades, Nick and Koutitas, Georgios (2013) Congestion management for urban EV charging systems. At 4th IEEE International Conference on Smart Grid Communications (SmartGridComm) 4th IEEE International Conference on Smart Grid Communications (SmartGridComm), Canada. 21 - 24 Oct 2013. 6 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

We consider the problem of managing Electric Vehicle (EV) charging at charging points in a city to ensure that the load on the charging points remains within the desired limits while minimizing the inconvenience to EV owners. We develop solutions that treat charging points and EV users as self-interested agents that aim to maximize their profit and minimize the impact on their schedule. In particular, we propose variants of a decentralised and dynamic approach as well as an optimal centralised static approach. We evaluated these solutions in a real setting based on the road network and the location of parking garages of a UK city and show that the optimal centralised (non-dynamic) solution manages the congestion the best but does not scale well, while the decentralised solutions scale to thousands of agents.

PDF paperSmartGridComm.pdf - Accepted Manuscript
Download (513kB)

More information

e-pub ahead of print date: 22 October 2013
Venue - Dates: 4th IEEE International Conference on Smart Grid Communications (SmartGridComm), Canada, 2013-10-21 - 2013-10-24
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 356081
URI: https://eprints.soton.ac.uk/id/eprint/356081
ISBN: 978-1-4799-1526-2
PURE UUID: 46b3fa95-a91d-4584-959c-49a81b5415cc
ORCID for Sarvapali Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 16 Sep 2013 12:15
Last modified: 06 Jun 2018 12:42

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×