Robust Control System for DFIG-Based WECS and Energy Storage in reel Wind Conditions




Backstepping control, Doubly-Fed Induction Generator, DFIG, Storage System, WECS


This research work focuses on addressing the challenges of controlling a wind energy conversion system (WECS) connected to the grid, particularly when faced with variable wind speed profiles. The system consists of a Doubly-Fed Induction Generator (DFIG) connected to the grid through an AC/DC/AC converter, along with a Li-ion battery storage system connected to the Back-to-Back converter DC link via a DC/DC converter. The non-linearity and internal parametric variation of the wind turbine can negatively impact energy production, battery charging performance, and battery lifespan. To overcome these issues, the study proposes a robust control approach called Integral action Sliding Mode Control (ISMC) to enhance the dynamic performance of the WECS based on DFIG. Additionally, the battery charging and discharging controllers play a crucial role in efficiently distributing power to the grid and storage unit based on the battery's state of charge, extracted energy, and power injected into the grid. Two current regulation modes, buck charging and boost discharging, are employed to ensure proper energy distribution. Furthermore, a storage system energy management algorithm is implemented to ensure battery safety during one of the charging modes. The effectiveness and robustness of the proposed control method were validated through simulations of a 1.5 MW wind power conversion system using Matlab/Simulink. The results confirmed the method's efficiency and efficacy.


Download data is not yet available.


H. Chojaa et al., "Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile," in IEEE Access, vol. 11, pp. 90065-90083, 2023, doi: 10.1109/ACCESS.2023.3306722. DOI:

Loulijat, A.; Chojaa, H.; El Marghichi, M.; Ettalabi, N.; Hilali, A.; Barnawi, A.B.; Elbarbary, Z.M.S.; Mossa, M.A. Application and Comparison of a Modified Protection Scheme Utilizing a Proportional–Integral Controller with a Conventional Design to Enhance Doubly Fed Induction Generator Wind Farm Operations during a Balanced Voltage Dip. Processes 2023, 11, 2834. DOI:

Hadoune A, Mouradi A, Mimet A, Chojaa H, Dardabi C, Gulzar MM, Alqahtani M and Khalid M (2023) Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile. Front. Energy Res. 11:1261902. doi: 10.3389/fenrg.2023.1261902 DOI:

Chojaa, H. et al. (2022). Comparative Study of MPPT Controllers for a Wind Energy Conversion System. In: Saidi, R., El Bhiri, B., Maleh, Y., Mosallam, A., Essaaidi, M. (eds) Advanced Technologies for Humanity. ICATH 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 110. Springer, Cham. DOI:

Elmostafa Chetouani, Youssef Errami, Abdellatif Obbadi, Smail Sahnoun, Self-adapting PI controller for grid-connected DFIG wind turbines based on recurrent neural network optimization control under unbalanced grid faults, Electric Power Systems Research, Volume 214, Part A, 2023, 108829, ISSN 0378-7796, DOI:

C. Hamid, A. Derouich, M. Taoussi, O. Zamzoum and A. Hanafi, "An Improved Performance Variable Speed Wind Turbine Driving a Doubly Fed Induction Generator Using Sliding Mode Strategy," 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), 2020, pp. 1-8, doi: 10.1109/ICECOCS50124.2020.9314629. DOI:

Chojaa, H., Derouich, A., Taoussi, M., Zamzoum, O., Yessef, M. (2021). Optimization of DFIG Wind Turbine Power Quality Through Adaptive Fuzzy Control. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. DOI:

B. Hu, H. Nian, J. Yang, M. Li and Y. Xu, "High-Frequency Resonance Analysis and Reshaping Control Strategy of DFIG System Based on DPC," in IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7810-7819, July 2021, doi: 10.1109/TPEL.2020.3045860. DOI:

S. Mondal and D. Kastha, "Input Reactive Power Controller With a Novel Active Damping Strategy for a Matrix Converter Fed Direct Torque Controlled DFIG for Wind Power Generation," in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 8, no. 4, pp. 3700-3711, Dec. 2020, doi: 10.1109/JESTPE.2019.2938012. DOI:

S. S. Yu, G. Zhang, T. Fernando and H. H. -C. Iu, "A DSE-Based SMC Method of Sensorless DFIG Wind Turbines Connected to Power Grids for Energy Extraction and Power Quality Enhancement," in IEEE Access, vol. 6, pp. 76596-76605, 2018, doi: 10.1109/ACCESS.2018.2883591 DOI:

X. Zheng and X. Chen, "Enhancement on transient stability of LVRT of DFIG based on neural network D-STATCOM and crowbar," 2017 11th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID), 2017, pp. 64-68, doi: 10.1109/ICASID.2017.8285745. DOI:

A. Watil , Abdelmounime El Magri , Rachid Lajouad, Abdelhadi Raihani, Fouad Giri, Multi-mode control strategy for a stand-alone wind energy conversion system with battery energy storage, Journal of Energy Storage 51 (2022) 104481. DOI:

Aziz Watil, Abdelmounime El Magri, Abdelhadi Raihani, Rachid Lajouad, Fouad Giri,An adaptive nonlinear observer for sensorless wind energy conversion system with PMSG, Control Engineering Practice 98 (2020) 104356, DOI:

V. Marano, S. Onori, Y. Guezennec, G. Rizzoni and N. Madella, "Lithium-ion batteries life estimation for plug-in hybrid electric vehicles," 2009 IEEE Vehicle Power and Propulsion Conference, 2009, pp. 536-543, doi: 10.1109/VPPC.2009.5289803. DOI:




How to Cite

Hamid C, Aziz D, Zamzoum O, El Idrissi A. Robust Control System for DFIG-Based WECS and Energy Storage in reel Wind Conditions. EAI Endorsed Trans Energy Web [Internet]. 2024 Jan. 16 [cited 2024 Feb. 22];11. Available from: