A high degree of direct torque control applied to a grid-connected wind energy system based on a DFIG

Main Article Content

Oualid Djoudi
Sofia Lalouni Belaid
Salah Tamalouzt


This paper presents the performances improvement of a doubly fed induction generator (DFIG) driven by a wind turbine (WT) using direct torque control (DTC). However, the major drawbacks related to DTC are high torque/flux ripples that produce mechanical vibration and disagreeable noise. The use of multilevel inverters seems to be an interesting solution. A three-level voltage source (inverter) converter (3LVSI) connected to the rotor side of the DFIG is considered in this paper. The high freedom degree of the voltage vectors selection in the 3LVSI allows a control with minimal torque and flux ripples. In addition, a fuzzy logic approach is introduced, to ensure an intelligent extraction of the energy sweeping the WT blades. A variable adjustment step enables an optimal extraction in a minimum tracking time with significant reduction of oscillations in the steady state. Simulation results obtained using MATLAB/SIMULINK demonstrate the effectiveness of the 3LVSI-DTC control based on Fuzzy MPPT in the wind energy conversion system (WECS).

Article Details

How to Cite
O. . Djoudi, S. . Lalouni Belaid, and S. Tamalouzt, “A high degree of direct torque control applied to a grid-connected wind energy system based on a DFIG”, J. Ren. Energies, vol. 1, no. 1, pp. 81 -, Jun. 2022.


Amrane F, Chaiba A. A novel direct power control for grid-connected double fed induction generator based on hybrid artificial intelligent control with space vector modulation. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg, Vol. 61(3), p.263-268, 2016.

Pahlivan AS, Erabatur K. Performance Comparison of Pitch Angle Controllers for 2MW Wind Turbine. International 2nd Conference on Sustainable Energy and Energy Calculations (ICSEEC2020), Turkey, 2020.

Benbouhenni H, Belaidi A, Boudjema Z. Power ripple reduction of DPC DFIG drive using ANN controller. Acta Electrotechnica et Informatica, Vol. 20(1), pp.15-22, 2020.

Sahri Y, Tamalouzt S, Hamoudi F, Lalouni Belaid S, Bajaj M, M.Alharthi M, S. Alzaidi M, S.M.Ghoneim S. New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes. Energy reports, Vol. 7, p.6394-6412, 2021.

Lan J, J.Patton R, Zhu X. Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation. Renewable energy, Vol 116, pp. 219–231, 2018.

Lalouni S, Rekioua D, Idjdarene K, Tounzi A. Maximum Power Point Tracking Based Hybrid Hill-climb Search Method Applied to Wind Energy Conversion System. Electric power components systems, Vol. 43, p.1028-1038, 2015.

Zerouali M, Zouirech S, El ougli A, Tidhaf B, Zrouri H. Improvement of Conventional MPPT Techniques P&O and INC by Integration of Fuzzy Logic. 7th international renewable and sustainable energy conference (IRSEC), Agadir, Morocco, 2019.

Cipriano D, Rengifo J, M.Aller J. Transient stability evaluation of high penetration of DFIG controlled by DTC and DPC into power systems. IEEE third Ecuador technical chapters meeting (ETCM), Cuenca, Ecuador, 2018.

Bhukya J, Mahajan V. Fuzzy Logic Based Control Scheme for Doubly Fed Induction Generator Based Wind Turbine. International journal of emerging electric power systems, vol. 19(6), 2018.

Tamalouzt S. Performances of direct reactive power control technique applied to three-level inverter under random behavior of wind speed. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg, Vol. 64, pp. 33-38, 2019.

Boubzizi S, Abid H, El hajjaji A. Comparative study of three types of controllers for DFIG in wind energy conversion system. Prot Control Mod Power Syst, Vol 3(21), 2018.

Hakami S.S, Lee K.-B. Four-Level Hysteresis-Based DTC for Torque Capability Improvement of IPMSM Fed by Three-Level NPC Inverter. Electronics, Vol 9(10), 2020.

Harrag A, Rezk H. Indirect P&O type-2 fuzzy-based adaptive step MPPT for proton exchange membrane fuel cell. Neural Computing and Applications, Vol. 33, pp.9649-9662, 2021.

Slamet, Rijanto E, Nugroho A, Ghani R.A. A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic. TELKOMNIKA Telecommunication, Computing,Electronics and Control, Vol. 18(6), p.2999-3010, 2020.

Harrag A, Messalti S. A variable step size fuzzy MPPT controller improving energy conversion of variable speed DFIG wind turbine. Revue des Energies Renouvelables, Vol. 20(2), p. 295 – 308, 2017.

Deboucha H, Lalouni Belaid S. Improved incremental conductance maximum power point tracking algorithm using fuzzy logic controller for photovoltaic system. Rev. Roum. Sci. Techn.– Électrotechn. et Énerg, Vol 62(4), pp. 381–387, 2017.