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Exhaustive Comparison between Linear and Nonlinear Approaches for Grid-Side Control of Wind Energy Conversion Systems

Author

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  • Younes Azelhak

    (Laboratory of Research in Engineering (LRI), System Architecture Team (EAS), Hassan II University—ENSEM, Route d’El Jadida, km 7, Oasis, Casablanca 8118, Morocco
    Research Foundation for Development in Science and Engineering, Route d’El Jadida, km 7, Oasis, Casablanca 8118, Morocco
    These authors contributed equally to this work.)

  • Loubna Benaaouinate

    (Laboratory of Energy and Electrical Systems, Hassan II University—ENSEM, Casablanca 8118, Morocco
    These authors contributed equally to this work.)

  • Hicham Medromi

    (Laboratory of Research in Engineering (LRI), System Architecture Team (EAS), Hassan II University—ENSEM, Route d’El Jadida, km 7, Oasis, Casablanca 8118, Morocco
    Research Foundation for Development in Science and Engineering, Route d’El Jadida, km 7, Oasis, Casablanca 8118, Morocco)

  • Youssef Errami

    (Department of Physical, Faculty of Science, Chouaib Doukkali University, Avenue Jabran Khalil Jabran, El Jadida 299-24000, Grand-Casablanca, Morocco)

  • Tarik Bouragba

    (EIGSI Casablanca, 282 Route de l’Oasis, Casablanca 20410, Morocco)

  • Damien Voyer

    (EIGSI La Rochelle, 26 rue de Vaux de Foletier, CEDEX 1, 17041 La Rochelle, France)

Abstract

In this paper, we propose a comparative study of linear and nonlinear algorithms designed for grid-side control of the power flow in a wind energy conversion system. We performed several simulations and experiments with step and variable power scenarios for different values of the DC-link capacity with the DC storage element being the key element of the grid-side converter. The linear control was designed on the basis of the internal model control theory where an active damping was added to avoid steady state errors. Nonlinear controls were built using first and second order sliding mode controls with theoretical considerations to ensure accuracy and stability. We observed that the first order sliding mode control was the most efficient algorithm for controlling the DC-link voltage but that the chattering degraded the quality of the energy injected into the grid as well as the efficiency of the grid-side converter. The linear control caused overshoots on the DC-link voltage; however, this algorithm had better performance on the grid side due to its smoother control. Finally, the second order sliding mode control did not prove to be more robust than the other two algorithms. This can be explained by the fact that this control is theoretically more sensitive to converter losses.

Suggested Citation

  • Younes Azelhak & Loubna Benaaouinate & Hicham Medromi & Youssef Errami & Tarik Bouragba & Damien Voyer, 2021. "Exhaustive Comparison between Linear and Nonlinear Approaches for Grid-Side Control of Wind Energy Conversion Systems," Energies, MDPI, vol. 14(13), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:4049-:d:588709
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    References listed on IDEAS

    as
    1. Kumar, Dipesh & Chatterjee, Kalyan, 2016. "A review of conventional and advanced MPPT algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 957-970.
    2. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.
    3. Narayana, M. & Putrus, G.A. & Jovanovic, M. & Leung, P.S. & McDonald, S., 2012. "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 72-79.
    4. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    5. Oscar Barambones & Jose A. Cortajarena & Patxi Alkorta & Jose M. Gonzalez De Durana, 2014. "A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator," Energies, MDPI, vol. 7(10), pages 1-22, October.
    6. Jain, Bhavna & Jain, Shailendra & Nema, R.K., 2015. "Control strategies of grid interfaced wind energy conversion system: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 983-996.
    7. Aubrée, René & Auger, François & Macé, Michel & Loron, Luc, 2016. "Design of an efficient small wind-energy conversion system with an adaptive sensorless MPPT strategy," Renewable Energy, Elsevier, vol. 86(C), pages 280-291.
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