M. Ortega-vazquez and D. Kirschen, Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration, IEEE Transactions on Power Systems, vol.24, issue.1, pp.114-138, 2008.
DOI : 10.1109/TPWRS.2008.2004745

H. Lund, P. Østergaard, D. Connolly, I. Ridjan, B. Mathiesen et al., Energy Storage and Smart Energy Systems, International Journal of Sustainable Energy Planning, 2016.

B. Nastasi, G. Basso, and . Lo, Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems, Energy, vol.110, pp.5-22, 2016.
DOI : 10.1016/j.energy.2016.03.097

E. Castronuovo and J. Lopes, On the Optimization of the Daily Operation of a Wind-Hydro Power Plant, IEEE Transactions on Power Systems, vol.19, issue.3, pp.1599-606, 2004.
DOI : 10.1109/TPWRS.2004.831707

E. Castronuovo and J. Lopes, Optimal operation and hydro storage sizing of a wind???hydro power plant, International Journal of Electrical Power & Energy Systems, vol.26, issue.10, pp.771-779, 2004.
DOI : 10.1016/j.ijepes.2004.08.002

E. Castronuovo, J. Usaola, R. Bessa, M. Matos, I. Costa et al., An integrated approach for optimal coordination of wind power and hydro pumping storage, Wind Energy, vol.11, issue.1, pp.829-52, 2014.
DOI : 10.1287/opre.11.1.18

URL : https://hal.archives-ouvertes.fr/hal-00802781

M. Korpaas, A. Holen, and R. Hildrum, Operation and sizing of energy storage for wind power plants in a market system, International Journal of Electrical Power & Energy Systems, vol.25, issue.8, pp.599-606, 2003.
DOI : 10.1016/S0142-0615(03)00016-4

M. Korpås, Increasing the Network In-Feed Accuracy of Wind Turbines with Energy Storage Devices. Sixth Word Energy Syst, Conf, pp.365-70, 2006.

J. Garcia-gonzalez, R. De-la-muela, L. Santos, and A. Gonzalez, Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market, IEEE Transactions on Power Systems, vol.23, issue.2, pp.460-468, 2008.
DOI : 10.1109/TPWRS.2008.919430

S. Aditya and D. Das, Application of battery energy storage system to load frequency control of an isolated power system, 3<247::AID-ER480>3.0.CO, pp.247-58, 1999.
DOI : 10.1109/28.52675

P. Mercier, R. Cherkaoui, and A. Oudalov, Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System, IEEE Transactions on Power Systems, vol.24, issue.3, pp.1469-77, 2009.
DOI : 10.1109/TPWRS.2009.2022997

G. Delille, B. Francois, and G. Malarange, Dynamic frequency control support: A virtual inertia provided by distributed energy storage to isolated power systems, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010.
DOI : 10.1109/ISGTEUROPE.2010.5638887

N. Hamsic, A. Schmelter, A. Mohd, E. Ortjohann, E. Schultze et al., Increasing Renewable Energy Penetration in Isolated Grids Using a Flywheel Energy Storage System, IEEE, pp.195-200, 2007.

R. Takahashi and J. Tamura, Frequency control of isolated power system with wind farm by using Flywheel Energy Storage System, IEEE, pp.1-6, 2008.

P. Brown, P. Lopes, J. Matos, and M. , Optimization of Pumped Storage Capacity in an Isolated Power System With Large Renewable Penetration, IEEE Transactions on Power Systems, vol.23, issue.2, pp.523-554, 2008.
DOI : 10.1109/TPWRS.2008.919419

L. Johnston, F. Díaz-gonzález, O. Gomis-bellmunt, C. Corchero-garcía, and M. Cruz-zambrano, Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants, Applied Energy, vol.137, pp.660-669, 2015.
DOI : 10.1016/j.apenergy.2014.09.031

S. Bahramirad, W. Reder, and A. Khodaei, Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid, IEEE Transactions on Smart Grid, vol.3, issue.4, pp.2056-62, 2012.
DOI : 10.1109/TSG.2012.2217991

A. Hussein, N. Kutkut, Z. Shen, and I. Batarseh, Distributed Battery Micro-Storage Systems Design and Operation in a Deregulated Electricity Market, IEEE Transactions on Sustainable Energy, vol.3, issue.3, pp.545-56, 2012.
DOI : 10.1109/TSTE.2012.2191806

D. Jenkins, J. Fletcher, and D. Kane, Lifetime prediction and sizing of lead???acid batteries for microgeneration storage applications, IET Renewable Power Generation, vol.2, issue.3, pp.191-200, 2008.
DOI : 10.1049/iet-rpg:20080021

E. Gavanidous and A. Bakirtzis, Design of a stand alone system with renewable energy sources using trade off methods, IEEE Transactions on Energy Conversion, vol.7, issue.1, pp.42-50, 1992.
DOI : 10.1109/60.124540

S. Chen and H. Gooi, Sizing of energy storage system for microgrids, IEEE, pp.6-11, 2010.

J. Fossati, A. Galarza, A. Martín-villate, and L. Fontán, A method for optimal sizing energy storage systems for microgrids, Renewable Energy, vol.77, pp.539-588, 2015.
DOI : 10.1016/j.renene.2014.12.039

H. Bludszuweit, J. Dominguez-navarro, and A. Llombart, Statistical Analysis of Wind Power Forecast Error, IEEE Transactions on Power Systems, vol.23, issue.3, pp.983-91, 2008.
DOI : 10.1109/TPWRS.2008.922526

P. Pinson, G. Papaefthymiou, B. Klockl, and J. Verboomen, Dynamic sizing of energy storage for hedging wind power forecast uncertainty, IEEE, 2009.

P. Pinson, H. Madsen, H. Nielsen, G. Papaefthymiou, and B. Klöckl, From probabilistic forecasts to statistical scenarios of short-term wind power production, Wind Energy, vol.15, issue.1, pp.51-62, 2009.
DOI : 10.1002/we.284

P. Haessig, B. Multon, B. Ahmed, H. Lascaud, S. Bondon et al., Energy storage sizing for wind power: impact of the autocorrelation of day-ahead forecast errors, Wind Energy, vol.9, issue.3
DOI : 10.1109/MCSE.2007.55

URL : https://hal.archives-ouvertes.fr/hal-00863901

A. Abbassi, M. Dami, and M. Jemli, A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system, Renewable Energy, vol.103, pp.81-93, 2017.
DOI : 10.1016/j.renene.2016.11.024

A. Chauhan and R. Saini, A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control, Renewable and Sustainable Energy Reviews, vol.38, 2014.
DOI : 10.1016/j.rser.2014.05.079

A. Cano, F. Jurado, H. Sánchez, L. Fernández, and M. Castañeda, Optimal sizing of stand-alone hybrid systems based on PV/WT/FC by using several methodologies, Journal of the Energy Institute, vol.87, issue.4, pp.330-370, 2014.
DOI : 10.1016/j.joei.2014.03.028

W. Zhou, C. Lou, Z. Li, L. Lu, and H. Yang, Current status of research on optimum sizing of stand-alone hybrid solar???wind power generation systems, Applied Energy, vol.87, issue.2, pp.380-389, 2010.
DOI : 10.1016/j.apenergy.2009.08.012

J. Lujano-rojas, R. Dufo-lópez, and J. Bernal-agustín, Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty, Applied Energy, vol.93, pp.404-416, 2012.
DOI : 10.1016/j.apenergy.2011.12.035

P. Gipe, ???Wind Power???, Wind Engineering, vol.28, issue.5, 2004.
DOI : 10.1260/0309524043028145

G. Giebel, R. Brownsword, G. Kariniotakis, M. Denhard, and C. Draxl, The State-Of-The-Art in Short- Term Prediction of Wind Power: A Literature Overview, 2011.

I. Waldl, F. Dierich, G. Kariniotakis, A. Bocquet, and S. Virlot, The Anemos Wind Power forecasting Platform technology -techniques and experiences, p.4, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00527160

J. Juban, N. Siebert, and G. Kariniotakis, Probabilistic Short-term Wind Power Forecasting for the Optimal Management of Wind Generation, IEEE, pp.683-691, 2007.

R. Bessa, V. Miranda, A. Botterud, J. Wang, and E. Constantinescu, Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting, IEEE Transactions on Sustainable Energy, vol.3, issue.4, pp.660-669, 2012.
DOI : 10.1109/TSTE.2012.2200302

F. Bourry, L. Costa, and G. Kariniotakis, Risk-based strategies for wind/pumped-hydro coordination under electricity markets, IEEE, 2009.
DOI : 10.1109/ptc.2009.5282276

T. Biswas, Decision-making under uncertainty, 1997.
DOI : 10.1007/978-1-349-25817-8

M. Zeleny, Multiple Criteria Decision Making (MCDM): From Paradigm Lost to Paradigm Regained?, Journal of Multi-Criteria Decision Analysis, vol.1, issue.1-2, pp.77-89, 2011.
DOI : 10.4018/jsds.2010103001

N. Sahinidis, Optimization under uncertainty: state-of-the-art and opportunities, Computers & Chemical Engineering, vol.28, issue.6-7, pp.971-83, 2004.
DOI : 10.1016/j.compchemeng.2003.09.017

T. Brekken, A. Yokochi, A. Von-jouanne, Z. Yen, H. Hapke et al., Optimal Energy Storage Sizing and Control for Wind Power Applications, IEEE Transactions on Sustainable Energy, 2010.
DOI : 10.1109/TSTE.2010.2066294

A. Michiorri, G. Kariniotakis, A. Bossavy, and R. Girard, The value of schedule update frequency on distributed energy storage performance in renewable energy integration, IEEE PES ISGT Europe 2013
DOI : 10.1109/ISGTEurope.2013.6695299

URL : https://hal.archives-ouvertes.fr/hal-00870566

H. Ibrahim, A. Ilinca, and J. Perron, Energy storage systems???Characteristics and comparisons, Renewable and Sustainable Energy Reviews, vol.12, issue.5, pp.1221-50, 2008.
DOI : 10.1016/j.rser.2007.01.023