The University of Southampton
University of Southampton Institutional Repository

Trading agents for the smart electricity grid

Record type: Conference or Workshop Item (Paper)

The vision of the Smart Grid includes the creation of intelligent electricity supply networks to allow efficient use of energy resources, reduce carbon emissions and are robust to failures. One of the key assumptions underlying this vision is that it will be possible to manage the trading of electricity between homes and micro-grids while coping with the inherent real-time dynamism in electricity demand and supply. The management of these trades needs to take into account the fact that most, if not all, of the actors in the system are self-interested and transmission line capacities are constrained. Against this background, we develop and evaluate a novel market-based mechanism and novel trading strategies for the Smart Grid. Our mechanism is based on the Continuous Double Auction (CDA) and automatically manages the congestion within the system by pricing the flow of electricity. We also introduce mechanisms to ensure the system can cope with unforeseen demand or increased supply capacity in real time. Finally, we develop new strategies that we show achieve high market efficiency (typically over 90%).

PDF electricityMarket.pdf - Version of Record
Download (1MB)


Vytelingum, Perukrishnen, Ramchurn, Sarvapali D., Voice, Thomas D., Rogers, Alex and Jennings, Nicholas R. (2010) Trading agents for the smart electricity grid At The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Canada. 10 - 14 May 2010. , pp. 897-904.

More information

Submitted date: 14 May 2010
Published date: 2010
Additional Information: Event Dates: May 10-14, 2010
Venue - Dates: The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), Canada, 2010-05-10 - 2010-05-14
Keywords: smart grid, agents, continuous double auction, markets, balancing mechanism, energy
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 268361
PURE UUID: 3289c6fe-5ddc-4973-8bc2-c455d10eec55
ORCID for Sarvapali D. Ramchurn: ORCID iD

Catalogue record

Date deposited: 06 Jan 2010 23:16
Last modified: 18 Jul 2017 06:54

Export record


Author: Perukrishnen Vytelingum
Author: Sarvapali D. Ramchurn ORCID iD
Author: Thomas D. Voice
Author: Alex Rogers
Author: Nicholas R. Jennings

University divisions

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 supports OAI 2.0 with a base URL of

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.