D. Abbes, A. Martinez, and G. Champenois, Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems, Math. Comput. Simulation, vol.98, pp.46-62, 2014.

M. J. Essa, Management of charging cycles for grid-connected energy storage batteries, J. Energy Storage, vol.18, pp.380-388, 2018.

, Li-ion battery life -Technical sheet, Battery datasheet

H. P. Beck and R. Hesse, Virtual synchronous machine, pp.1-6, 2007.

M. Benidris and J. Mitra, Enhancing stability performance of renewable energy generators by utilizing virtual inertia, IEEE Power and Energy Society General Meeting, pp.1-6, 2012.

C. Chen, S. Duan, T. Cai, B. Liu, and G. Hu, Optimal allocation and economic analysis of energy storage system in microgrids, IEEE Trans. Power Electron, vol.26, issue.10, pp.2762-2773, 2011.

V. Courtecuisse, J. Sprooten, B. Robyns, M. Petit, B. Francois et al., A methodology to design a fuzzy logic based supervision of Hybrid Renewable Energy Systems, Math. Comput. Simulation, vol.81, issue.2, pp.208-224, 2010.

, Cahier des charges de l'appel d'offres n ? 332689-2010-FR portant sur des installations éoliennes terrestres de production d'électricité en Corse, p.14, 2010.

. Guadeloupe and . Politic,

P. Haessig, B. Multon, H. B. Ahmed, S. Lascaud, and P. Bondon, Energy storage sizing for wind power: impact of the autocorrelation of day-ahead forecast errors, Wind Energy, vol.18, issue.1, pp.43-57, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00863901

D. Hernandez-torres, C. Turpin, X. Roboam, and B. Sareni, Techno-economical optimization of wind power production including Lithium and/or Hydrogen sizing in the context of the day ahead market in island grids, Elsevier MATCOM journal (Mathematics and Computers in Simulation, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02330725

K. Jeong, W. Lee, and C. Kim, Energy management strategies of a fuel cell/battery hybrid system using fuzzy logics, J. Power Sources, vol.145, issue.2, pp.319-326, 2005.

N. Korprasertsak and T. Leephakpreeda, Comparative investigation of short-term wind speed forecasting models for airborne wind turbines, 2017 8th International Conference on Mechanical and Aerospace Engineering, pp.451-454, 2017.

G. Mandic, A. Nasiri, E. Ghotbi, and E. Muljadi, Lithium-ion capacitor energy storage integrated with variable speed wind turbines for power smoothing, IEEE J. Emerg. Sel. Top. Power Electron, vol.1, issue.4, pp.287-295, 2013.

A. Maroufmashat, M. Fowler, S. Khavas, A. Elkamel, R. Roshandel et al., Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy, Int. J. Hydrog. Energy, vol.41, issue.19, pp.7700-7716, 2016.

E. S. Matee and G. Radman, Determination of optimum economic power commitment by wind farms equipped with energy storage system, pp.1-6, 2014.

L. Miao, J. Wen, H. Xie, C. Yue, and W. J. Lee, Coordinated control strategy of wind turbine generator and energy storage equipment for frequency support, IEEE Trans. Ind. Appl, vol.51, issue.4, pp.2732-2742, 2015.

H. Morais, P. Kádár, P. Faria, Z. A. Vale, and H. M. Khodr, Optimal scheduling of a renewable micro-grid in an isolated load area using mixedinteger linear programming, Renew. Energy, vol.35, issue.1, pp.151-156, 2010.

S. Nasri, S. Ben, I. Slama, B. Yahyaoui, A. Zafar et al., Autonomous hybrid system and coordinated intelligent management approach in power system operation and control using hydrogen storage, Int. J. Hydrog. Energy, vol.42, issue.15, pp.9511-9523, 2017.

N. Nguyen and J. Mitra, An analysis of the effects and dependency of wind power penetration on system frequency regulation, IEEE Trans. Sustain. Energy, vol.7, issue.1, pp.354-363, 2016.

M. Connor, T. Lewis, and G. Dalton, Techno-economic performance of the Pelamis P1 and Wavestar at different ratings and various locations in Europe, Renew. Energy, vol.50, pp.889-900, 2013.

R. Rigo-mariani, B. Sareni, and X. Roboam, Fast power flow scheduling and sensitivity analysis for sizing a microgrid with storage, Math. Comput. Simul, vol.131, pp.114-127, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01440330

R. Rigo-mariani, B. Sareni, and X. Roboam, Integrated optimal design of a smart microgrid with storage, IEEE Trans. Smart Grid, vol.8, issue.4, pp.1762-1770, 2017.

R. Rigo-mariani, B. Sareni, X. Roboam, and C. Turpin, Optimal power dispatching strategies in smart-microgrids with storage, Renew. Sustain. Energy Rev, vol.40, pp.649-658, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01064368

R. H. Rodriguez, I. Vechiu, S. Jupin, S. Bacha, Q. Tabart et al., A new energy management strategy for a grid connected wind turbine-battery storage power plant, 2018 IEEE International Conference on Industrial Technology, ICIT, pp.873-879, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01792220

M. Sechilariu, B. Wang, and F. Locment, Power management and optimization for isolated DC microgrid, Automation and Motion 2014 International Symposium on Power Electronics, Electrical Drives, pp.1284-1289, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01955358

W. Short, D. Packey, and T. Holt, A Manual for the Economic Evaluation of Energy Efficiency and Renewable Energy Technologies, vol.95, 1995.

J. Soares, M. Silva, T. Sousa, Z. Vale, and H. Morais, Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization, Energy, vol.42, issue.1, pp.466-476, 2012.

O. Tremblay and L. Dessaint, Experimental validation of a battery dynamic model for EV applications, World Electr. Veh. J, vol.3, issue.1, pp.1-10, 2009.

R. J. Vanderbei, Linear Programming: Fundations and Extensions, vol.2, 2001.

C. Wang, Day-ahead unit commitment method considering time sequence feature of wind power forecast error, Int. J. Electr. Power Energy Syst, vol.98, pp.156-166, 2018.

M. Zaibi, G. Champenois, X. Roboam, J. Belhadj, and B. Sareni, Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network, Math. Comput. Simul, 2016.