Abstract
Pervasive information and communication technologies and large-scale complex systems, are strongly influencing today’s networked society. Understanding the behaviour and impact of such distributed, often emergent systems on society is of vital importance. This paper proposes a new approach to better understand the complexity of large-scale participatory systems in the context of smart grids. Multi-agent based distributed simulations of realistic multi-actor scenarios incorporating real-time dynamic data and active participation of actors is the means to this purpose. The Symphony experiment platform, developed to study complex emergent behaviours and to facilitate the analysis of the system dynamics and actor interactions, is the enabler.
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Notes
- 1.
Symphony is not related to Repast Simphony, see Sect. 2.
- 2.
This work has been done in the context of EIT ICT Labs projects, see http://www.eitictlabs.eu/.
References
AgentScape - Distributed Agent Middleware. http://www.agentscape.org/
Nist framework and roadmap for smart grid interoperability standards, release 3.0. Technical report, National Institute of Standards and Technology (2014)
Ahrenholz, J., Danilov, C., Henderson, T., Kim, J.: CORE: a real-time network emulator. In: Military Communications Conference, MILCOM 2008, pp. 1–7. IEEE, November 2008
Amin, S.M., Wollenberg, B.F.: Toward a smart grid: power delivery for the 21st century. Power and Energy Magazine 3(5), 34–41 (2005)
Bar-Yam, Y.: Dynamics of complex systems, vol. 213. Addison-Wesley, Reading (1997)
Chassin, D., Schneider, K., Gerkensmeyer, C.: GridLAB-D: an open-source power systems modeling and simulation environment. In: Transmission and Distribution Conference and Exposition, 2008, T&D, pp. 1–5. IEEE/PES, April 2008
Chassin, D.P., Fuller, J.C., Djilali, N.: GridLAB-D: an agent-based simulation framework for smart grids. J. Appl. Math. 2014(12) (2014)
Dahmann, J.S., Fujimoto, R.M., Weatherly, R.M.: The department of defense high level architecture. In: Proceedings of the 29th Conference on Winter Simulation, WSC 1997, pp. 142–149. IEEE Computer Society, Washington, D.C. (1997)
Darema, F.: Dynamic data driven applications systems: a new paradigm for application simulations and measurements. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 662–669. Springer, Heidelberg (2004)
Gellings. C.: Estimating the costs, benefits of the smart grid: a preliminary estimate of the investment requirements and the resultant benefits of a fully functioning smart grid. Electric Power Research Institute (EPRI), Technical report (1022519) (2011)
IEC-TC57-WG10/11/12. Communications Networks and Systems in Substations. Standard IEC 61850, International Electrotechnical Commission, Geneva, CH
Ketter, W., Collins, J., Reddy, P.: Power tac: a competitive economic simulation of the smart grid. Energy Economics 39, 262–270 (2013)
McArthur, S.D., 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 Transactions on Power Systems 22(4), 1743–1752 (2007)
Mosshammer, R., Kupzog, F., Faschang, M., Stifter, M.: Loose coupling architecture for co-simulation of heterogeneous components. In: 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, pp. 7570–7575, November 2013
North, M., Collier, N., Ozik, J., Tatara, E., Macal, C., Bragen, M., Sydelko, P.: Complex adaptive systems modeling with repast simphony. Complex Adaptive Systems Modeling 1(1), 1–26 (2013)
Oey, M.A., Genc, Z., Ogston, E., Brazier, F.M.T.: Symphony – agent-based platform for distributed smart grid experiments. In: Corchado, J.M., Bajo, J., Kozlak, J., Pawlewski, P., Molina, J.M., Gaudou, B., Julian, V., Unland, R., Lopes, F., Hallenborg, K., García Teodoro, P. (eds.) PAAMS 2014. CCIS, vol. 430, pp. 238–249. Springer, Heidelberg (2014)
Repast Development Team. The Repast Suite. http://repast.sourceforge.net
Schutte, S., Scherfke, S., Troschel, M.: Mosaik: a framework for modular simulation of active components in smart grids. In: 2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS), pp. 55–60, October 2011
Tan, S., Song, W.-Z., Dong, Q., Tong, L.: SCORE: Smart-grid common open research emulator. In: 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm), pp. 282–287, November 2012
Team SimPY. SimPy Simulation Package. https://simpy.readthedocs.org
Acknowledgements
Symphony has been partly developed within the EIT ICT Labs projects Open SES Experience Labs (11831) and European Virtual Smart Grid Lab (11814). Partners in these projects include TU-Delft, CWI The Netherlands, Imperial College London, Fortiss, Fraunhofer FOKUS, DFKI, TU-Berlin, and DAI-Labor, to whom the authors are very grateful.
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Genç, Z., Oey, M., van Antwerpen, H., Brazier, F. (2016). Dynamic Data-Driven Experiments in the Smart Grid Domain with a Multi-agent Platform. In: Gaudou, B., Sichman, J. (eds) Multi-Agent Based Simulation XVI. MABS 2015. Lecture Notes in Computer Science(), vol 9568. Springer, Cham. https://doi.org/10.1007/978-3-319-31447-1_8
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