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Abstract

The advances in Information and Communication Technologies (ICT) permits interactions among the computational and the physical elements of the smart-grid, and provide opportunities for novel energy management techniques allowing thus renewable energy integration and energy price minimization. Few of the current energy management schemes integrate storage aspects. In this paper, we propose an agent-based algorithm for better energy management in the smart-grid using a storage system. Furthermore, we propose a negotiation algorithm to help consumer choose the appropriate producer which provides him the needed energy at the lowest price. Simulation results show that our proposal minimizes the energy costs for each energy demand and reduces conventional energy utilization.

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References

  1. Petinrin, J.O., Shaaban, M.: Smart power grid: technologies and applications. In: 2012 IEEE International Conference on Power and Energy (PECon), pp. 892–897. December 2012

    Google Scholar 

  2. Mets, K., Strobbe, M., Verschueren, T., Roelens, T., De Turck, F., Develder, C.: Distributed multi-agent algorithm for residential energy management in smart grids. In: 2012 IEEE Network Operations and Management Symposium (NOMS), pp. 435–443. April 2012

    Google Scholar 

  3. Guo, Y., Pan, M., Fang, Y.: Optimal power management of residential customers in the smart grid. IEEE Trans. Parallel Distrib. Syst. 23(9), 1593–1606 (2012)

    Article  Google Scholar 

  4. Belkacemi, R., Bababola, A.: Experimental implementation of multi-agent system algorithm for distributed restoration of a smart grid system. In: IEEE SOUTHEASTCON 2014, pp. 1–4. March 2014

    Google Scholar 

  5. Alberola, J.M., Julián, V., García-Fornes, A.: A self-configurable agent-based system for intelligent storage in smart grid. In: Corchado, J.M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, J.M., Julian, V., Silveira, R.A., Unland, R., Giroux, S. (eds.) PAAMS 2013. CCIS, vol. 365, pp. 240–250. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  6. Vytelingum, P., Voice, T.D., Ramchurn, S.D., Rogers, A., Jennings, N.R.: Theoretical and practical foundations of large-scale agent-based micro-storage in the smart grid. J. Artif. Int. Res. 42, 765–813 (2011)

    MATH  Google Scholar 

  7. Logenthiran, T., Srinivasan, D.: Multi-agent system for market based microgrid operation in smart grid environment. Department of Electronics and Computer Science, National University of Singapore (2011)

    Google Scholar 

  8. Nagata, T., Ueda, Y., Utatani, M.: A multi-agent approach to smart grid energy management. In: IPEC, 2012 Conference on Power Energy, pp. 327–331. December 2012

    Google Scholar 

  9. Colson, C.M., Nehrir, M.H.: Algorithms for distributed decision-making for multi-agent microgrid power management. In: 2011 IEEE Power and Energy Society General Meeting, pp. 1–8. July 2011

    Google Scholar 

  10. El Nabouch, D., Matta, N., Rahim-Amoud, R., Merghem-Boulahia, L.: An agent-based approach for efficient energy management in the context of smart houses. In: Corchado, J.M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, J.M., Julian, V., Silveira, R.A., Unland, R., Giroux, S. (eds.) PAAMS 2013. CCIS, vol. 365, pp. 375–386. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  11. EDF (2013). http://france.edf.com/france-45634.html

  12. JADE (2015). http://jade.tilab.com/

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Correspondence to Joelle Klaimi .

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Klaimi, J., Rahim-Amoud, R., Merghem-Boulahia, L., Jrad, A. (2015). An Agent-Based Approach for Energy Management in Smart-Grids. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-19033-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19032-7

  • Online ISBN: 978-3-319-19033-4

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