Skip to main content

A Multi-agent Home Automation System for Power Management

  • Chapter
Informatics in Control Automation and Robotics

Part of the book series: Lecture Notes Electrical Engineering ((LNEE,volume 15))

Abstract

This paper presents the principles of a Home Automation system dedicated to power management that adapts power consumption to available power ressources according to user comfort and cost criteria. The system relies on a multi-agent paradigm. Each agent is embedded into a power resource or an equipment, which may be an environment (thermal-air, thermal-water, ventilation, luminous) or a service (washing, cooking), and cooperates and coordinates its action with others in order to find acceptable near-optimal solution. The control algorithm is decomposed into two complementary mechanisms: an emergency mechanism, which protects from constraint violations, and an anticipation mechanism, which computes the best future set-points according to predicted consumptions and productions and to user criteria. The paper details a negotiation protocol used by the both mechanisms and presents some preliminary simulation results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fontaine, N.: Livre blanc sur les énergies. débat national sur les énergies, http://www.industrie.gouv.fr/energie/politiqu/ploe.htm (2003)

    Google Scholar 

  2. Ha, D.L., Ploix, S., Zamai, E., Jacomino, M.: Control of energy consumption in home automation by ressource constraint scheduling. In: The 15th International Conference on Control System and ComputerScience, Bucharest, Romania (2005)

    Google Scholar 

  3. Ha, D.L., Ploix, S., Zamai, E., Jacomino, M.: A home automation system to improve household energy control. In: The 12th IFAC Symposium on Information Control Problems in Manufacturing (2006)

    Google Scholar 

  4. Cherkassky, B.V., Goldberg, A.V., Radzik, T.: Shortest paths algorithms: theory and experimental evaluation. In: SODA ’94: Proceedings of the Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, Philadelphia, USA, Society for Industrial and Applied Mathematics (1994) 516–525

    Google Scholar 

  5. Jennings, N.R.: The ARCHON system and its applications. In: Second International Working Conference on Cooperating Knowledge Based Systems (CKBS-94), Keele, UK (1994) 13–29

    Google Scholar 

  6. Hägg, S., Ygge, F.: Agent-oriented programming in power distribution automation. PhD thesis, University of Karlskrona/Ronneby, Ronneby, Sweden (1995)

    Google Scholar 

  7. Kok, J.K., Warmer, C.J., Kamphuis, I.G.: Powermatcher: multiagent control in the electricity infrastructure. In: AAMAS ’05: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, New York, USA, ACM Press (2005) 75–82

    Google Scholar 

  8. Simonin, O.: Le modèle satisfaction-altruisme: coopération et résolution de conflits entre agent situés réactifs, application à la robotique. PhD thesis, Université Montpellier II (2001)

    Google Scholar 

  9. Mathieu, P., Verrons, M.H.: Three different kinds of negotiation applications achieved with {GeNCA}. In: Proceedings of the International Conference on Advances in Intelligent Systems – Theory and Applications (AISTA) In Cooperation with the IEEE Computer Society, Centre de Recherche Public Henri Tudor, Luxembourg-Kirchberg, Luxembourg (2004)

    Google Scholar 

  10. Smith, R.G.: The contract net protocol: high-level communication and control in a distributed problem solver. IEEE Transaction on Computers C-29 (1980) 1104–1113

    Article  Google Scholar 

  11. Yang, J., Havaldar, R., Honavar, V., Miller, L., Wong, J.: Coordination of distributed knowledge networks using contract net protocol. IEEE Information Technology Conference, Syracuse, NY (1998)

    Google Scholar 

  12. Makoto, Y., Hirayama, K.: Algorithms for distributed constraint satisfaction: a review. Autonomous Agents and Multi-Agent Systems 3 (2000) 185–207

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Abras, S., Ploix, S., Pesty, S., Jacomino, M. (2008). A Multi-agent Home Automation System for Power Management. In: Cetto, J.A., Ferrier, JL., Costa dias Pereira, J., Filipe, J. (eds) Informatics in Control Automation and Robotics. Lecture Notes Electrical Engineering, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79142-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-79142-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79141-6

  • Online ISBN: 978-3-540-79142-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics