An agent-based electrical power market
An agent-based electrical power market
This demonstration shows an agent-based model for the electricity power market, in which the optimal power flow is determined in a bottom-up fashion. Here, each agent controls a single electrical node consisting of several power generators, loads (consumer demand), and is connected to neighbouring nodes through transmission lines. Furthermore, each of the components has associated physical constraints, such as the line and generators' capacities. Through a process resembling tâtonnement in markets, the optimal system solution which maximises social welfare is reached within a few iterations. The demonstrator visualises this process and also shows how the various constraints affect the system behaviour and how this changes with different settings.
Distributed constrained optimization, Electrical power markets, Quadratic separable programming
1609-1610
International Foundation for Autonomous Agents and Multiagent Systems
Jacobo, Jaime Cerda
83aba116-9e0a-46e7-bb74-7a893034e7f4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362
2008
Jacobo, Jaime Cerda
83aba116-9e0a-46e7-bb74-7a893034e7f4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362
Jacobo, Jaime Cerda, De Roure, David and Gerding, Enrico H.
(2008)
An agent-based electrical power market.
In 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008.
vol. 3,
International Foundation for Autonomous Agents and Multiagent Systems.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This demonstration shows an agent-based model for the electricity power market, in which the optimal power flow is determined in a bottom-up fashion. Here, each agent controls a single electrical node consisting of several power generators, loads (consumer demand), and is connected to neighbouring nodes through transmission lines. Furthermore, each of the components has associated physical constraints, such as the line and generators' capacities. Through a process resembling tâtonnement in markets, the optimal system solution which maximises social welfare is reached within a few iterations. The demonstrator visualises this process and also shows how the various constraints affect the system behaviour and how this changes with different settings.
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Published date: 2008
Additional Information:
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
Venue - Dates:
7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008, , Estoril, Portugal, 2008-05-12 - 2008-05-16
Keywords:
Distributed constrained optimization, Electrical power markets, Quadratic separable programming
Identifiers
Local EPrints ID: 452490
URI: http://eprints.soton.ac.uk/id/eprint/452490
ISSN: 1548-8403
PURE UUID: 71275147-81c6-4c1d-bb27-970cb0db6d70
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Date deposited: 11 Dec 2021 11:19
Last modified: 07 Mar 2024 02:41
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Contributors
Author:
Jaime Cerda Jacobo
Author:
David De Roure
Author:
Enrico H. Gerding
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