Abstract
The aim of this paper is to present a platform for helping agent researchers to become familiar with Smart Grids. Agent technology has been recognised as one of the enablers for Smart Grids. A Smart Grid intends to make an advanced use of available metering and generation capabilities in order to use more efficiently the electricity. Contributions of agent resea1rchers to this domain are still reduced and this may be because of the highly specialised knowledge that is required to run current Smart Grid simulators and the cost of commercial ones. This paper aims to share the experience acquired during a project where distributed control approaches were devised using open source solutions. An important result is a simulator for Smart Grids that facilitates the research of how agents can operate such grids. This paper introduces an example case study and discusses how agents can be applied in these situations.
Keywords
- Smart Grid
- Power Line
- Power Grid
- Agent Technology
- Real Time Simulation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
References
Anderson, D., Zhao, C., Hauser, C.H., Venkatasubramanian, V., Bakken, D.E., Bose, A.: Intelligent design real-time simulation for smart grid control and communications design. IEEE Power Energy Mag. 10(1), 49–57 (2012)
Basso, G., Gaud, N., Gechter, F., Hilaire, V., Lauri, F.: A framework for qualifying and evaluating smart grids approaches: focus on multi-agent technologies. Smart Grid Renew. energy 4(04), 333 (2013)
Basso, G., Hilaire, V., Lauri, F., Roche, R., Cossentino, M.: A MAS-based simulator for the prototyping of smart grids. In: 9th European Workshop on Multiagent Systems (EUMAS11), November 2011
Bélanger, J., Venne, P., Paquin, J.N.: The what, where and why of real-time simulation (2010). http://www.opal-rt.com/technical-document/what-where-and-why-real-time-simulation
Bélanger, J., Lapointe, V., Dufour, C., Schoen, L.: eMEGAsim: an open high-performance distributed real-time power grid simulator. architecture and specification. In: Proceedings of the International Conference on Power Systems (ICPS 2007), pp. 12–24 (2007)
Chassin, D.P., Fuller, J.C., Djilali, N.: Gridlab-d: An agent-based simulation framework for smart grids. J. Appl. Math. 2014, 12 (2014). doi:10.1155/2014/492320
Dugan, R.: Opendss, introductory training, level 1. Electric Power Research Institute, Palo Alto, California (2009)
Farhangi, H.: The path of the smart grid. IEEE Power Energy Mag. 8(1), 18–28 (2010)
Gomez-Sanz, J.J., Garcia-Rodriguez, S., Cuartero-Soler, N., Hernandez-Callejo, L.: Reviewing microgrids from a multi-agent systems perspective. Energies 7(5), 3355–3382 (2014)
Hassan, R., Radman, G.: Survey on smart grid. In: Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon), pp. 210–213. IEEE, March 2010
McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F., Funabashi, T.: Multi-agent systems for power engineering applications - part i: concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 22(4), 1743–1752 (2007)
McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F., Funabashi, T.: 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)
Montenegro, D., Hernandez, M., Ramos, G.A.: Real time opendss framework for distribution systems simulation and analysis. In: Transmission and Distribution: Latin America Conference and Exposition (T D-LA), 2012 Sixth IEEE/PES, pp. 1–5, September 2012
Oyarzabal, J., Jimeno, J., Ruela, J., Engler, A., Hardt, C.: Agent based micro grid management system. In: 2005 International Conference on Future Power Systems, p. 6, November 2005
Pavón, J., Gómez-Sanz, J.J.: Agent oriented software engineering with INGENIAS. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, pp. 394–403. Springer, Heidelberg (2003)
Pipattanasomporn, M., Feroze, H., Rahman. S.: Multi-agent systems in a distributed smart grid: Design and implementation. In: Power Systems Conference and Exposition. PSCE ’09. IEEE/PES, pp. 1–8 (2009)
Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.R.: Putting the ‘smarts’ into the smart grid: a grand challenge for artificial intelligence. Commun. ACM 55(4), 86–97 (2012)
Ramchurn, S.D., Vytelingum, P., Rogers, A., Jennings, N.: Agent-based control for decentralised demand side management in the smart grid. In: The 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS ’11, vol. 1, pp. 5–12, Richland, SC. International Foundation for Autonomous Agents and Multiagent Systems (2011)
Sobe, A., Elmenreich, W.: Smart microgrids: Overview and outlook. CoRR, abs/1304.3944 (2013)
Acknowledgement
This work has been co-funded by the project MIRED-CON IPT-2012-0611-120000, supported by Spanish Ministry for Economy and Competitiveness, and Fondo Europeo de Desarrollo Regional (FEDER). It also has been supported by the Programa de Creación y Consolidación de Grupos de Investigación UCM-Banco Santander, call GR3/14, for the group number 921354 (GRASIA group).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Gomez-Sanz, J.J., Cuartero-Soler, N., Garcia-Rodriguez, S. (2015). A Testbed for Agent Oriented Smart Grid Implementation. In: Baldoni, M., Baresi, L., Dastani, M. (eds) Engineering Multi-Agent Systems. EMAS 2015. Lecture Notes in Computer Science(), vol 9318. Springer, Cham. https://doi.org/10.1007/978-3-319-26184-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-26184-3_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26183-6
Online ISBN: 978-3-319-26184-3
eBook Packages: Computer ScienceComputer Science (R0)