K. A. Alanne and . Saari, Distributed energy generation and sustainable development, Renewable and Sustainable Energy Reviews, vol.10, issue.6, pp.539-558, 2006.
DOI : 10.1016/j.rser.2004.11.004

C. Chen, S. Duan, T. Cai, B. Liu, and &. G. Hu, Smart energy management system for optimal microgrid economic operation, IET Renewable Power Generation, vol.5, issue.3, pp.258-267, 2011.
DOI : 10.1049/iet-rpg.2010.0052

C. Colson, M. Nehrir, and &. R. Gunderson, Multiagent microgrid power management, Proceedings of the 18th IFAC World Congress, pp.77-82, 2010.
DOI : 10.3182/20110828-6-it-1002.01188

K. Edlund, J. Bendtsen, and &. J. Jørgensen, Hierarchical model-based predictive control of a power plant portfolio, Control Engineering Practice, vol.19, issue.10, pp.1126-1136, 2011.
DOI : 10.1016/j.conengprac.2011.06.002

G. Goodwin, M. Seron, and &. J. De-dona, Constrained control and estimation: an optimisation approach, 2005.
DOI : 10.1007/b138145

C. Grigg, P. Wong, P. Albrecht, R. Allan, M. Bhavaraju et al., The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee, IEEE Transactions on Power Systems, vol.14, issue.3, pp.1010-1020, 1999.
DOI : 10.1109/59.780914

R. Halvgaard, N. K. Poulsen, H. Madsen, and &. J. Jorgensen, Economic Model Predictive Control for building climate control in a Smart Grid, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp.1-6, 2012.
DOI : 10.1109/ISGT.2012.6175631

T. Hovgaard, L. Larsen, and &. J. Jorgensen, Robust economic MPC for a power management scenario with uncertainties, IEEE Conference on Decision and Control and European Control Conference, pp.1515-1520, 2011.
DOI : 10.1109/CDC.2011.6161165

J. Jimeno, J. Anduaga, J. Oyarzabal, and &. A. De-muro, Architecture of a microgrid energy management system, European Transactions on Electrical Power, vol.41, issue.3, pp.1142-1158, 2011.
DOI : 10.1002/etep.443

Z. Jun, L. Junfeng, W. Jie, and &. H. Ngan, A multi-agent solution to energy management in hybrid renewable energy generation system, Renewable Energy, vol.36, issue.5, pp.1352-1363, 2011.
DOI : 10.1016/j.renene.2010.11.032

C. Justus, W. Hargraves, and &. A. Yalcin, Nationwide Assessment of Potential Output from Wind-Powered Generators, Journal of Applied Meteorology, vol.15, issue.7, pp.673-678, 1976.
DOI : 10.1175/1520-0450(1976)015<0673:NAOPOF>2.0.CO;2

F. M. Katiraei and . Iravani, Power Management Strategies for a Microgrid With Multiple Distributed Generation Units, IEEE Transactions on Power Systems, vol.21, issue.4, pp.1821-1831, 2006.
DOI : 10.1109/TPWRS.2006.879260

T. Krause, E. Beck, R. Cherkaoui, A. Germond, G. Andersson et al., A comparison of Nash equilibria analysis and agent-based modelling for power markets, International Journal of Electrical Power & Energy Systems, vol.28, issue.9, pp.599-607, 2006.
DOI : 10.1016/j.ijepes.2006.03.002

E. Kuznetsova, K. Culver, and &. E. Zio, Complexity and vulnerability of Smartgrid systems, Proceedings of the European Safety and Reliability Conference, pp.2474-2482, 2011.
DOI : 10.1201/b11433-352

URL : https://hal.archives-ouvertes.fr/hal-00712932

H. Lund, Renewable energy strategies for sustainable development, Energy, vol.32, issue.6, pp.912-919, 2007.
DOI : 10.1016/j.energy.2006.10.017

D. Mayne, E. Kerrigan, and &. P. Falugi, Robust model predictive control: advantages and disadvantages of tube-based methods, IFAC Proceedings Volumes, vol.44, issue.1, pp.148-153
DOI : 10.3182/20110828-6-IT-1002.01893

J. Rawlings and . Mayne, Postface to model predictive control: Theory and design, 2011.

J. Richalet and . O-'donovan, Predictive Functional Control: Principles and Industrial Applications, 2009.
DOI : 10.1007/978-1-84882-493-5

A. Weidlich and . Veit, A critical survey of agent-based wholesale electricity market models, Energy Economics, vol.30, issue.4, pp.1728-1759, 2008.
DOI : 10.1016/j.eneco.2008.01.003

E. T. Zio and . Aven, Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?, Energy Policy, vol.39, issue.10, pp.6308-6320, 2011.
DOI : 10.1016/j.enpol.2011.07.030

URL : https://hal.archives-ouvertes.fr/hal-00638390