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Agent-Based Micro-Storage Management for the Smart Grid

Vytelingum, Perukrishnen, Voice, Thomas D., Ramchurn, Sarvapali D., Rogers, Alex and Jennings, Nicholas R. (2010) Agent-Based Micro-Storage Management for the Smart Grid At The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) - Won the Best Paper Award, Canada. 10 - 14 May 2010. , pp. 39-46.

Record type: Conference or Workshop Item (Paper)


The use of energy storage devices in homes has been advocated as one of the main ways of saving energy and reducing the reliance on fossil fuels in the future Smart Grid. However, if micro-storage devices are all charged at the same time using power from the electricity grid, it means a higher demand and, hence, more generation capacity, more carbon emissions, and, in the worst case, breaking down the system due to over-demand. To alleviate such issues, in this paper, we present a novel agent-based micro-storage management technique that allows all (individually-owned) storage devices in the system to converge to profitable, efficient behaviour. Specifically, we provide a general framework within which to analyse the Nash equilibrium of an electricity grid and devise new agent-based storage learning strategies that adapt to market conditions. Taken altogether, our solution shows that, specifically, in the UK electricity market, it is possible to achieve savings of up to 13% on average for a consumer on his electricity bill with a storage device of 4 kWh. Moreover, we show that there exists an equilibrium where only 38% of UK households would own storage devices and where social welfare would be also maximised (with an overall annual savings of nearly GBP 1.5B at that equilibrium).

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Submitted date: 10 May 2010
Published date: 2010
Additional Information: Winner of the Best Paper Award Event Dates: May 10-14, 2010
Venue - Dates: The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010) - Won the Best Paper Award, Canada, 2010-05-10 - 2010-05-14
Keywords: Energy, smart grid, agents, agent-based modelling, game-theory
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 268360
PURE UUID: 28c757f5-03bc-43c3-b037-a029c5c3ce10
ORCID for Sarvapali D. Ramchurn: ORCID iD

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Date deposited: 06 Jan 2010 22:59
Last modified: 18 Jul 2017 06:55

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

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