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An agent-based electrical power market

Published: 12 May 2008 Publication History

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 tatonnement 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.

References

[1]
J. Cerda Jacobo and D. De Roure. A decentralised DC optimal power flow. In Proceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, Nanjing, China, April 6--9 2008. IEEE Power Engineering Society.
[2]
J. Cerda Jacobo and D. De Roure. A graph-based decomposition method for quadratic separable programs. In SIAM Conference on Optimization 2008, Boston, Massachussets, USA, May 10--13 2008.
[3]
J. Nocedal and S. Wright. Numerical Optimization. Springer-Verlag, 2nd edition, 2006.
[4]
M. Shahidehpour, H. Yamin, and Z. Li. Market Operations in Electric power Systems - Forecasting, Scheduling, and Risk Management. John Wiley & Sons, Inc., 2002.

Cited By

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  • (2010)Market-based risk allocation for multi-agent systemsProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 110.5555/1838206.1838413(1423-1424)Online publication date: 10-May-2010

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Published In

cover image ACM Conferences
AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
May 2008
116 pages

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 12 May 2008

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Author Tags

  1. distributed constrained optimization
  2. electrical power markets
  3. quadratic separable programming

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  • Research-article

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AAMAS08
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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2010)Market-based risk allocation for multi-agent systemsProceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 110.5555/1838206.1838413(1423-1424)Online publication date: 10-May-2010

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