Skip to main content

A Model Driven Methodology for Developing Multi Agent Solutions for Energy Systems

  • Conference paper
  • First Online:
Book cover Multi-Agent Systems and Agreement Technologies (EUMAS 2017, AT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10767))

  • 724 Accesses

Abstract

The complexity and intelligence of energy systems has increased in the recent years, whereas using Multi-agent Systems (MAS) has been recommended by IEEE for developing software solutions for modeling, controlling, and simulating their behaviors. Existing proposals on MAS solutions for energy systems proposed ad-hoc solutions for resolving specific problems, without considering interoperability and reusability. We propose a methodology, based on the Model-Driven Engineering (MDE) technique, for developing MAS solutions for energy systems. Our methodology uses the Common Information Model standard (CIM), recommended by IEEE, and the existing Platform Independent agent metamodel PIM4Agents. The proposed methodology allows modeling MAS solutions for power engineering applications, by means of a platform-independent model that abstracts developers from existing agent-oriented methodologies and platforms. Applying model transformations, the generated models can be transformed and executed within several agent platforms such as JACK and JADE. Our proposal has been validated by means of a well-known test case from the literature.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Notes

  1. 1.

    http://www.cimcontextor.net/.

References

  1. JACK Intelligent Agents: The agent oriented software group (AOS) (2006)

    Google Scholar 

  2. Amor, M., Fuentes, L., Vallecillo, A.: Bridging the gap between agent-oriented design and implementation using MDA. In: Odell, J., Giorgini, P., Müller, J.P. (eds.) AOSE 2004. LNCS, vol. 3382, pp. 93–108. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30578-1_7

    Chapter  Google Scholar 

  3. Bellifemine, F., Poggi, A., Rimassa, G.: JADE-A FIPA-compliant agent framework. In: Proceedings of PAAM, London, vol. 99, p. 33 (1999)

    Google Scholar 

  4. Bernon, C., Cossentino, M., Gleizes, M.-P., Turci, P., Zambonelli, F.: A study of some multi-agent meta-models. In: Odell, J., Giorgini, P., Müller, J.P. (eds.) AOSE 2004. LNCS, vol. 3382, pp. 62–77. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30578-1_5

    Chapter  Google Scholar 

  5. Bernon, C., Gleizes, M.-P., Peyruqueou, S., Picard, G.: ADELFE: a methodology for adaptive multi-agent systems engineering. In: Petta, P., Tolksdorf, R., Zambonelli, F. (eds.) ESAW 2002. LNCS (LNAI), vol. 2577, pp. 156–169. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39173-8_12

    Chapter  MATH  Google Scholar 

  6. Beydoun, G., et al.: FAML: a generic metamodel for MAS development. IEEE Trans. Softw. Eng. 35(6), 841–863 (2009)

    Article  Google Scholar 

  7. Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., Mylopoulos, J.: Tropos: an agent-oriented software development methodology. Auton. Agents Multi-Agent Syst. 8(3), 203–236 (2004)

    Article  Google Scholar 

  8. Cossentino, M., Potts, C.: A case tool supported methodology for the design of multi-agent systems. In: International Conference on Software Engineering Research and Practice (SERP 2002) (2002)

    Google Scholar 

  9. Gérard, S., Dumoulin, C., Tessier, P., Selic, B.: 19 Papyrus: a UML2 tool for domain-specific language modeling. In: Giese, H., Karsai, G., Lee, E., Rumpe, B., Schätz, B. (eds.) MBEERTS 2007. LNCS, vol. 6100, pp. 361–368. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16277-0_19

    Chapter  Google Scholar 

  10. Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G.P.: Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inform. 7(4), 529–539 (2011)

    Article  Google Scholar 

  11. Hahn, C., Madrigal-Mora, C., Fischer, K.: A platform-independent metamodel for multiagent systems. Auton. Agents Multi-Agent Syst. 18(2), 239–266 (2009)

    Article  Google Scholar 

  12. Hernandez, L., et al.: A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants. IEEE Commun. Mag. 51(1), 106–113 (2013)

    Article  Google Scholar 

  13. Kleppe, A.G., Warmer, J.B., Bast, W.: MDA Explained: the Model Driven Architecture: Practice and Promise. Addison-Wesley Professional, Reading (2003)

    Google Scholar 

  14. Koritarov, V.S.: Real-world market representation with agents. IEEE Power Energy Mag. 2(4), 39–46 (2004)

    Article  Google Scholar 

  15. Kravari, K., Bassiliades, N.: A survey of agent platforms. J. Artif. Soc. Soc. Simul. 18(1), 11 (2015)

    Article  Google Scholar 

  16. Kremers, E.A.: Modelling and Simulation of Electrical Energy Systems Through a Complex Systems Approach using Agent-Based Models. KIT Scientific Publishing, Karlsruhe (2013)

    Google Scholar 

  17. Logenthiran, T., Srinivasan, D., Shun, T.Z.: Demand side management in smart grid using heuristic optimization. IEEE Trans. Smart Grid 3(3), 1244–1252 (2012)

    Article  Google Scholar 

  18. McArthur, S.D., et al.: Multi-agent systems for power engineering applications–Part I: concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 22(4), 1743–1752 (2007)

    Article  Google Scholar 

  19. McArthur, S.D.: Multi-agent systems for power engineering applications–Part II: technologies, standards, and tools for building multi-agent systems. IEEE Trans. Power Syst. 22(4), 1753–1759 (2007)

    Article  Google Scholar 

  20. McMorran, A.W.: An introduction to IEC 61970–301 & 61968–11: The common information model. vol. 93, p. 124. University of Strathclyde (2007)

    Google Scholar 

  21. O’Brien, P.D., Nicol, R.C.: FIPA–towards a standard for software agents. BT Technol. J. 16(3), 51–59 (1998)

    Article  Google Scholar 

  22. Pavón, J., Gómez-Sanz, J., Fuentes, R.: Model driven development of multi-agent systems. In: Rensink, A., Warmer, J. (eds.) ECMDA-FA 2006. LNCS, vol. 4066, pp. 284–298. Springer, Heidelberg (2006). https://doi.org/10.1007/11787044_22

    Chapter  Google Scholar 

  23. Pipattanasomporn, M., Feroze, H., Rahman, S.: Multi-agent systems in a distributed smart grid: design and implementation. In: Power Systems Conference and Exposition, PSCE 2009, pp. 1–8. IEEE/PES (2009)

    Google Scholar 

  24. Romdhane, L.B., Sleiman, H.A., Mraidha, C., Dhouib, S.: Multi-agent solutions for energy systems: a model driven approach. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–4, September 2017

    Google Scholar 

  25. Schmidt, D.C.: Model-driven engineering. Comput. IEEE Comput. Soc. 39(2), 25 (2006)

    Article  Google Scholar 

  26. Uslar, M., Specht, M., Rohjans, S., Trefke, J., González, J.M.: The Common Information Model CIM: IEC 61968/61970 and 62325-A practical introduction to the CIM. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-25215-0

    Book  Google Scholar 

  27. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)

    Article  Google Scholar 

  28. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia methodology for agent-oriented analysis and design. Auton. Agents Multi-Agent Syst. 3(3), 285–312 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Lamia Ben Romdhane or Chokri Mraidha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ben Romdhane, L., Sleiman, H.A., Dhouib, S., Mraidha, C. (2018). A Model Driven Methodology for Developing Multi Agent Solutions for Energy Systems. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01713-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01712-5

  • Online ISBN: 978-3-030-01713-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics