Interdependent multi-issue negotiation for energy exchange in remote communities
Interdependent multi-issue negotiation for energy exchange in remote communities
We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our negotiation protocol is tractable, concurrent, scalable and leads to Pareto-optimal outcomes in a decentralised manner. We empirically evaluate our protocol and show that, in this instance, a society of agents can (i) improve the overall utilities by 14% and (ii) reduce their overall use of the batteries by 37%
complex negotiation, interdependent issues, energy exchange, remote communities, smart home
Alam, Muddasser
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Rogers, Alex
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Ramchurn, Sarvapali
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April 2013
Alam, Muddasser
9a8f7f5d-2a65-4933-8903-d48445358eb8
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Alam, Muddasser, Rogers, Alex and Ramchurn, Sarvapali
(2013)
Interdependent multi-issue negotiation for energy exchange in remote communities.
Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, United States.
14 - 18 Jul 2013.
6 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our negotiation protocol is tractable, concurrent, scalable and leads to Pareto-optimal outcomes in a decentralised manner. We empirically evaluate our protocol and show that, in this instance, a society of agents can (i) improve the overall utilities by 14% and (ii) reduce their overall use of the batteries by 37%
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6340-31095-1-PB (1).pdf
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Published date: April 2013
Venue - Dates:
Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, United States, 2013-07-14 - 2013-07-18
Keywords:
complex negotiation, interdependent issues, energy exchange, remote communities, smart home
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 350941
URI: http://eprints.soton.ac.uk/id/eprint/350941
PURE UUID: 001ddf77-f0cd-4f0b-bea6-fc7c996495ce
Catalogue record
Date deposited: 11 Apr 2013 10:44
Last modified: 15 Mar 2024 03:22
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Contributors
Author:
Muddasser Alam
Author:
Alex Rogers
Author:
Sarvapali Ramchurn
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