An improved sliding mode control for reduction of harmonic currents in grid system connected with a wind turbine equipped by a doubly-fed induction generator




doubly-fed induction generator, wind energy conversion system, bidirectional converter, particle swarm optimization, sliding mode control


Introduction. The implementation of renewable energy resources into the electrical grid has increased significantly in recent years. Wind power is one of the existing resources. Presently, power electronics has become an indispensable tool in wind power plants. Problem. However the associated control usually has an impact on increasing the harmonic distortion, especially on the output voltage. Goal. This paper proposes a new sliding mode control strategy, applied on a rotor-side of a doubly-fed induction generator. The main goal is to meet the electrical power requirements, while responding to the power quality issues. Methodology. The wind energy conversion system must be able to not only track the maximum power point of the wind energy, but also to mitigate the harmonic currents caused by the non-linear loads. To achieve this goal, the power converters are driven by the proposed sliding mode control strategy. The corresponding two gains of the sliding surface are well selected using a particle swarm optimization algorithm. The particle swarm optimization algorithm solves a constrained optimization problem whose fitness function is a prior formulated as the sum of two mean square error criterions. The first criterion presents the tracking dynamic of the reference active power while the second one presents the tracking dynamic of the reference reactive power. The novelty lies in the implementation of the particle swarm optimization algorithm in conventional sliding mode control strategy, in which the proposed-improved sliding mode control strategy is developed. The wind energy conversion system control uses the principal of the vector oriented control to decouple the control of the active power from that of the reactive power. Results. The improved sliding mode control strategy is applied to control separately theses powers in the presence of non-linear loads. The energy assessment of this strategy is analysed using the wind energy conversion system model based on SimPower software. Originality. The obtained simulation results confirm the superiority of the proposed-improved sliding mode control strategy in terms of reference tracking dynamics and suppression of harmonic currents.

Author Biographies

S. Bouraghda, University of Medea

PhD, Assistant Professor, Laboratory of Advanced Electronic Systems (LSEA)

K. Sebaa, University of Medea

Professor, Laboratory of Advanced Electronic Systems (LSEA)

M. Bechouat, University of Ghardaia

PhD, Associate Professor, Automatic & Electromechanic Department

M. Sedraoui, 8 Mai 1945 – Guelma University

Professor, The Telecommunications Laboratory


Nosratabadi S.M., Gholipour E. Power system harmonic reduction and voltage control using DFIG converters as an active filter. Turkish Journal of Electrical Engineering & Computer Sciences, 2016, vol. 24, pp. 3105-3122. doi:

Dhua D., Yang G., Zhang Z., Kocewiak L.H., Timofejevs A. Harmonic Active Filtering and Impedance-based Stability Analysis in Offshore Wind Power Plants. Proceedings of 16th Wind Integration Workshop, 2017, pp. 1-8.

Mishra A., Tripathi P.M., Chatterjee K. A review of harmonic elimination techniques in grid connected doubly fed induction generator based wind energy system. Renewable and Sustainable Energy Reviews, 2018, vol. 89, pp. 1-15. doi:

Hoseinpour A., Masoud Barakati S., Ghazi R. Harmonic reduction in wind turbine generators using a Shunt Active Filter based on the proposed modulation technique. International Journal of Electrical Power & Energy Systems, 2012, vol. 43, no. 1, pp. 1401-1412. doi:

Gonçalves P.F.C., Cruz S.M.A., Mendes A.M.S. Fault- Tolerant Predictive Control of a Doubly-Fed Induction Generator with Minimal Hardware Requirements. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 3357-3362, doi:

Hosseini Mousavi S.N., Barati H. Direct power control simultaneously in the rotor side converter and grid side converter of DFIG for wind turbines with elimination of network current harmonics. Journal of Novel Researches on Electrical Power, 2019, vol. 8, no. 3, pp: 37-51. Available at: (Accessed 20 May 2021).

Xu W., Yu K., Liu Y., Gao J., Hua W. Improved Harmonics Elimination for Standalone Brushless Doubly-Fed Induction Generator with Nonlinear Loads. 2018 XIII International Conference on Electrical Machines (ICEM), 2018, pp. 243-249. doi:

Gaillard A., Poure P., Saadate S., Machmoum M. Variable speed DFIG wind energy system for power generation and harmonic current mitigation. Renewable Energy, 2009, vol. 34, no. 6, pp. 1545-1553. doi:

Kesraoui M., Chaib A., Meziane A., Boulezaz A. Using a DFIG based wind turbine for grid current harmonics filtering. Energy Conversion and Management, 2014, vol. 78, pp. 968-975. doi:

Mahieddine H., Zarour L., Lamri L., Lokmane N.A. Developing a grid-connected DFIG strategy for the integration of wind power with harmonic current mitigation. International Journal of Electrical and Computer Engineering (IJECE), 2019, vol. 9, no. 5, pp. 3905. doi:

Kadri A., Marzougui H., Bacha F. Implementation of direct power control based on stator flux estimation using low-pass filter estimator for doubly fed induction generator–wind energy conversion system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2019, vol. 233, no. 7, pp. 764-778. doi:

Rouabhi R., Abdessemed R., Chouder A., Djerioui A. Power Quality Enhancement of Grid Connected Doubly-Fed Induction Generator Using Sliding Mode Control. International Review of Electrical Engineering (IREE), 2015, vol. 10, no. 2, pp. 266. doi:

Kahla S., Bechouat M., Amieur T., Sedraoui M., Babes B., Hamouda N. Maximum power extraction framework using robust fractional-order feedback linearization control and GM-CPSO for PMSG-based WECS. Wind Engineering, 2021, vol. 45, no. 4, pp. 1040-1054. doi:

Hamouda N., Benalla H., Hemsas K., Babes B., Petzoldt J., Ellinger T., Hamouda C. Type-2 fuzzy logic predictive control of a grid connected wind power systems with integrated active power filter capabilities. Journal of Power Electronics, 2017, vol. 17, no. 6, pp. 1587-1599. doi:

Beltran B., Benbouzid M., Ahmed-Ali T., Mangel H. DFIG-based wind turbine robust control using high-order sliding modes and a high gain observer. International Review on Modelling and Simulations, 2011, vol. 4, no. 3, pp. 1148-1155. Available at: (Accessed 20 May 2021).

Abad G., López J., Rodríguez M.A., Marroyo L., Iwanski G. Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation. John Wiley & Sons, 2011. 625 p. doi:

Abdellah A., Abdelhafid A., Mostafa R. Combining sliding mode and linear quadratic regulator to control the inverted pendulum. International Review of Automatic Control, 2013, vol. 6, no. 1, pp. 69-76. Available at: (Accessed 20 May 2021).

Sadeghi R., Madani S.M., Ataei M., Agha Kashkooli M.R., Ademi S. Super-Twisting Sliding Mode Direct Power Control of a Brushless Doubly Fed Induction Generator. IEEE Transactions on Industrial Electronics, 2018, vol. 65, no. 11, pp. 9147-9156. doi:‏

Radhwane S., Abdelkader M., Salim D., Aissa K. A fuzzy sliding mode robust control for a field oriented dual star induction machine fed by photovoltaic power supply with MPPT algorithm. Mediterranean Journal of Measurement and Control, 2016, vol. 12, no. 4, pp. 654-663. Available at: (Accessed 20 May 2021).

Zahedi H., Arab Markadeh G., Taghipour S. Real-time implementation of sliding mode control for cascaded doubly fed induction generator in both islanded and grid connected modes. Journal of Electrical and Computer Engineering Innovations (JECEI), 2020, vol. 8, no. 2, pp. 285-296. doi:

Bechouat M., Younsi A., Sedraoui M., Soufi Y., Yousfi L., Tabet I., Touafek K. Parameters identification of a photovoltaic module in a thermal system using meta-heuristic optimization methods. International Journal of Energy and Environmental Engineering, 2017, vol. 8, no. 4, pp. 331-341. doi:

Bechouat M., Soufi Y., Sedraoui M., Kahla S. Energy storage based on maximum power point tracking in photovoltaic systems: A comparison between GAs and PSO approaches. International Journal of Hydrogen Energy, 2015, vol. 40, no. 39, pp. 13737-13748. doi:

Soufi Y., Bechouat M., Kahla S. Fuzzy-PSO controller design for maximum power point tracking in photovoltaic system. International Journal of Hydrogen Energy, 2017, vol. 42, no. 13, pp. 8680-8688. doi:




How to Cite

Bouraghda, S., Sebaa, K., Bechouat, M., & Sedraoui, M. (2022). An improved sliding mode control for reduction of harmonic currents in grid system connected with a wind turbine equipped by a doubly-fed induction generator. Electrical Engineering & Electromechanics, (2), 47–55.



Power Stations, Grids and Systems