An Agent-based Approach for Smart Energy Grids

Alba Amato, Beniamino Di Martino, Marco Scialdone, Salvatore Venticinque

2014

Abstract

The increasing demand for energy and the availability of several solutions of renewable energy sources has stimulated the formulation of plans aiming at expanding and upgrading existing power grids in several countries. According to NIST, smart grid will be one of the greatest achievements of the 21st century. By linking information technologies with the electric power grid to provide electricity with a brain, the smart grid promises many benefits, including increased energy efficiency, reduced carbon emissions, and improved power reliability. In this paper we present an agent based architecture for supporting collection and processing of information about local energy production and storage resources of neighborhoods of individual houses and to schedule the energy flows using negotiation protocols.

References

  1. Amato, A., Di Martino, B., and Venticinque, S. (2012a). Semantically augmented exploitation of pervasive environments by intelligent agents. pages 807-814.
  2. Amato, A., Liccardo, L., Rak, M., and Venticinque, S. (2012b). Sla negotiation and brokering for sky computing. pages 611-620.
  3. Bellifemine, F., Caire, G., Poggi, A., and Rimassa, G. (2008). Jade: a software framework for developing multi-agent applications. lessons learned. Information and Software Technology Journal, 50:10-21.
  4. Brazier, F., Ogston, E., and Warnier, M. (2012). The future of energy markets and the challenge of decentralized self-management. In Agents and Peer-to-Peer Computing, volume 6573 of Lecture Notes in Computer Science, pages 95-103. Springer Berlin Heidelberg.
  5. Capodieci, N., Alsina, E. F., and Cabri, G. (2012a). A context-aware agent-based approach for deregulated energy market. In Reddy, S. and Drira, K., editors, WETICE, pages 16-21. IEEE Computer Society.
  6. Capodieci, N., Cabri, G., Pagani, G. A., and Aiello, M. (2012b). Adaptive game-based agent negotiation in deregulated energy markets. In Smari, W. W. and Fox, G. C., editors, CTS, pages 300-307. IEEE.
  7. Cattell, R. (2012). Scalable sql and nosql data stores. Technical report.
  8. FIPA (2002). Fipa contract net interaction protocol. Technical report.
  9. Isabel Praa, Carlos Ramos, Z. V. and Cordeiro, M. (2005). Intelligent agents for negotiation and game-based decision support in electricity markets. In International Journal of Engineering Intelligent Systems, volume 13, pages 147-154.
  10. Jia-hai, Y., Shun-kun, Y., and Zhao-guang, H. (2005). A multi-agent trading platform for electricity contract market. In Power Engineering Conference, 2005. IPEC 2005. The 7th International, pages 1024-1029 Vol. 2.
  11. Miller, S., Ramchurn, S. D., and Rogers, A. (2012). Optimal decentralised dispatch of embedded generation in the smart grid. In AAMAS, pages 281-288.
  12. NIST (2012). Nist smart grid. Technical report.
  13. Peleg, Y. and Rosenschein, J. (2012). Agents and peer-topeer computing: Towards p2p-based resource allocation in competitive environments. In Agents and Peerto-Peer Computing, volume 6573 of Lecture Notes in Computer Science, pages 129-140. Springer Berlin Heidelberg.
  14. Rodden, T. A., Fischer, J. E., Pantidi, N., Bachour, K., and Moran, S. (2013). At home with agents: Exploring attitudes towards future smart energy infrastructures. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 7813, pages 1173- 1182, New York, NY, USA. ACM.
  15. Rogers, A., Ramchurn, S. D., and Jennings, N. R. (2012). Delivering the smart grid: Challenges for autonomous agents and multi-agent systems research. In AAAI.
  16. Snyder, B., Bosanac, D., and Davies, R. (2011). ActiveMQ in Action. Manning Publications Co., Greenwich, CT, USA.
  17. Stein, S., Gerding, E., Robu, V., and Jennings, N. R. (2012). A model-based online mechanism with precommitment and its application to electric vehicle charging. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2, AAMAS 7812, pages 669-676.
  18. Telesca, L., Finnegan, J., Ferronato, P., Malone, P., Ricci, F., and Stanoevska-Slabeva, K. (2007). Open negotiation environment: An open source self-learning decentralised negotiation framework for digital ecosystems. Proceedings of IEEE International Conference on Digital Ecosystems and Technologies.
  19. Truong, N. C., Tran-Thanh, L., Costanza, E., and Ramchurn, D. S. (2013). Activity prediction for agentbased home energy management. In Agent Technologies for Energy Systems (ATES 2013).
  20. U.S. Office of Electricity Delivery & Energy Reliability (2012). Smart grid / department of energy. Technical report.
  21. Venticinque, S., Tasquier, L., and Di Martino, B. (2012). Agents based cloud computing interface for resource provisioning and management. pages 249-256.
  22. Whitehead, D. (2008). The el farol bar problem revisited: Reinforcement learning in a potential game. Ese discussion papers, Edinburgh School of Economics, University of Edinburgh.
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Paper Citation


in Harvard Style

Amato A., Di Martino B., Scialdone M. and Venticinque S. (2014). An Agent-based Approach for Smart Energy Grids . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 164-171. DOI: 10.5220/0004820001640171


in Bibtex Style

@conference{icaart14,
author={Alba Amato and Beniamino Di Martino and Marco Scialdone and Salvatore Venticinque},
title={An Agent-based Approach for Smart Energy Grids},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004820001640171},
isbn={978-989-758-016-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - An Agent-based Approach for Smart Energy Grids
SN - 978-989-758-016-1
AU - Amato A.
AU - Di Martino B.
AU - Scialdone M.
AU - Venticinque S.
PY - 2014
SP - 164
EP - 171
DO - 10.5220/0004820001640171