Wind System Based on a Doubly Fed Induction Generator: Contribution to the Study of Electrical Energy Quality and Continuity of Service in the Voltage Dips Event

Ibtissam Kharchouf, Ahmed Essadki, Tamou Nasser


Industrial machines are very sensitive to electrical defects especially the Doubly Fed Induction Generators. This high sensitivity reveals many difficulties in terms of compliance with the specifications imposed by the operators of the electrical networks, this article gives a proposed strategy to control the whole wind conversion chain which allows, high production performances in perturbed conditions to be obtained in the voltage dips event. To do this, a comparison between two control strategies, one conventional and the other modified, is presented to conclude about the one that guarantees a good quality of electrical energy and continuity of service in low voltage drops event. The results of this work are provided by simulations in the MATLAB / SIMULINK environment.

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Conventional Control Strategy; Doubly Fed Induction Generator (DFIG); Modified Control Strategy; Voltage Dips; Wind Turbine

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Synergrid, Creux de tension : Comment se protéger contre l’inévitable ? la fédération des gestionnaires de réseau électricité et gaz, Belgique. (Book chapter)

S. El Aimani, “ Modélisation de différentes technologies d’éoliennes intégrées dans un réseau de moyenne tension ”, Sciences et technologies, Lille, 2016. (Thesis)

S. Mokrane, “Modélisation et Commande d’un aérogénérateur à Machine Asynchrone à Double Alimentation en vue de simulation des problèmes de cogénération”, diplôme maîtrise en ingénierie. Université du Québec, 2013. (Thesis)

A. Essadki, Modélisation du moteur asynchrone en régime transitoire”, Université Mohamed V-Rabat. (Course)

S. El Aimani, “Practical Identification of a DFIG based wind generator model for grid assessment”, IEEE International Conference on Multimedia Computing and Systems (ICMCS), pp. 278–285, 2009. (Conference paper)

A. Boukhriss, T. Nasser, A. Essadki, “Linear Active Disturbance Rejection Control applied for DFIG based Wind Energy Conversion System”, International Journal of Computer Science Issues (IJCSI), vol. 10, no 2, p. 391-399, 2013. (Article)

A. Boukhriss, A. Essadki, A. Bouallouch, “Maximization of generated power from wind energy conversion systems using a doubly fed induction generator with active disturbance rejection control”, Complex Systems (WCCS), Second World Conference on. IEEE, pp. 330-335, 2014. (Conference paper)

R. Chakib, A. Essadki, M. Cherkaoui, “Active Disturbance Rejection Control for Wind System Based on a DFIG”, World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, vol. 8, no 8, pp. 1306-1315, 2014. (Article)

S. El Aimani, B. Francois, F Minne, B Robyns, “Modelling and simulation of doubly fed induction generators for variable speed wind turbines integrated in a distribution network”, 10th European Conference on Power Electronics and Applications (EPE 2003), Toulouse, France (Conference paper)

M. Nadour, A. Essadki, T. Nasser, “Comparative Analysis between PI & Backstepping Control Strategies of DFIG Driven by Wind Turbine”, Internatıonal Journal of Renewable Energy Research (IJRER), vol. 7, no. 3, 2017. (Article)

M.B.C Salles, A.J.S Filho and A.P.Grilo, “A Study on the Rotor Side Control of DFIG-based Wind turbine during Voltage Sags without Crowbar System” International Conference on Renewable Energy Research and Applications, ICRERA, 2013. (Conference paper).

E.Aydin, A. Polat, L.T.E Ergene, “Vector Control Of DFIG n Wind Power Application” International Conference on Renewable Energy Research and Applications, ICRERA, 2016. (Conference paper)

M. Ferrari, “GSC control strategy for harmonic voltage elimination of grid-connected DFIG wind turbine” International Conference on Renewable Energy Research and Applications, ICRERA, 2016. (Conference paper)

A.G. Aissaoui, A. Tahour, M. Abid, N. Essounbouli, F. Nollet, “ Using Neuro Fuzzy PI Techniques in Wind Turbine Control” International Conference on Renewable Energy Research and Applications, ICRERA, 2013. (Conference paper).


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