Abstract
Energy management is, nowadays, a subject of uttermost importance. Indeed, we are facing growing concerns such as petroleum reserve depletion, earth global warming or power quality (e.g. avoiding blackouts during peak times). Smartgrids (SG) is an attempt to solve such problems, by adding to power grids bi-directionnal communications and ICT capabilities in order to provide an intelligent autonomic management for the grid. Microgrids are a possible implementation of SG. They are defined by rather small power systems, composed of power sources (some may be renewables) and loads, that can be connected or not to the main grid. In this context, simulation is an appropriate approach for studying the introduction of SG in existing systems. Indeed, it avoids the deployment of real, costly infrastructures and reduce experimental risks. This paper presents a microgrid simulator based on Multi-Agent Systems (MAS).
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References
Chassin, D.P., Schneider, K., Gerkensmeyer, C.: Gridlab-d: An open-source power systems modeling and simulation environment. In: IEEE/PES Transmission and Distribution Conference and Exposition, T&D, pp. 1–5 (April 2008)
Cossentino, M., Gaud, N., Hilaire, V., Galland, S., Koukam, A.: Aspecs: an agent-oriented software process for engineering complex systems. Autonomous Agents and Multi-Agent Systems 20, 260–304 (2010)
Dimeas, A.L., Hatziargyriou, N.D.: Agent based control for microgrids. In: IEEE Power Engineering Society General Meeting, pp. 1–5 (2007)
Dugan, R.: Open source software for simulating active distribution systems. Active Distribution Management Tutorial (2009)
Fujimoto, R.M.: Parallel simulation: distributed simulation systems. In: Winter Simulation Conference, pp. 124–134 (2003)
Gao, F., Blunier, B., Miraoui, A.: Proton Exchange Membrane Fuel Cells Modeling. Wiley-ISTE (February 2012)
Gaud, N., Galland, S., Gechter, F., Hilaire, V., Koukam, A.: Holonic multilevel simulation of complex systems: Application to real-time pedestrians simulation in virtual urban environment. Simulation Modelling Practice and Theory 16(10), 1659–1676 (2008)
Gaud, N., Galland, S., Hilaire, V., Koukam, A.: An organisational platform for holonic and multiagent systems. In: Hindriks, K.V., Pokahr, A., Sardina, S. (eds.) ProMAS 2008. LNCS, vol. 5442, pp. 104–119. Springer, Heidelberg (2009)
Helleboogh, A., Holvoet, T., Weyns, D., Berbers, Y.: Extending time management support for multi-agent systems. In: Davidsson, P., Logan, B., Takadama, K. (eds.) MABS 2004. LNCS (LNAI), vol. 3415, pp. 37–48. Springer, Heidelberg (2005)
Lasseter, R.H., Paigi, P.: Microgrid: a conceptual solution. In: 2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC 2004, vol. 6, pp. 4285–4290 (June 2004)
Lauri, F., Basso, G., Zhu, J., Roche, R., Hilaire, V., Koukam, A.: Managing power flows in microgrids using multi-agent reinforcement learning. In: Agent Technologies for Energy Systems, ATES (May 2013)
Piagi, P., Lasseter, R.H.: Autonomous control of microgrids. In: IEEE Power Engineering Society General Meeting, page 8 (2006)
Ramchurn, S., Vytelingum, P., Rogers, A., Jennings, N.: Putting the “smarts” into the smart grid: A grand challenge for artificial intelligence. Communications of the ACM (2011)
Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. The Knowledge Engineering Review 10(02), 115–152 (1995)
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Basso, G., Hilaire, V., Lauri, F., Paire, D., Gaillard, A. (2013). A Principled Approach for Smart Microgrids Simulation Using MAS. In: Klusch, M., Thimm, M., Paprzycki, M. (eds) Multiagent System Technologies. MATES 2013. Lecture Notes in Computer Science(), vol 8076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40776-5_18
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DOI: https://doi.org/10.1007/978-3-642-40776-5_18
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