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Performance of Robust Type-2 Fuzzy Sliding Mode Control Compared to Various Conventional Controls of Doubly-Fed Induction Generator for Wind Power Conversion Systems

Author

Listed:
  • Riyadh Rouabhi

    (LGE Research Laboratory, Department of Electrical Engineering, Faculty of Technology, Mohamed Boudiaf University of M’sila, M’Sila 28000, Algeria)

  • Abdelghafour Herizi

    (LGE Research Laboratory, Department of Electrical Engineering, Faculty of Technology, Mohamed Boudiaf University of M’sila, M’Sila 28000, Algeria)

  • Ali Djerioui

    (LGE Research Laboratory, Department of Electrical Engineering, Faculty of Technology, Mohamed Boudiaf University of M’sila, M’Sila 28000, Algeria)

Abstract

This paper presents a novel hybrid type-2 fuzzy sliding mode control approach for regulating active and reactive power exchanged with the utility grid by a doubly-fed induction generator in a wind energy conversion system. The main objective of this hybridization is to eliminate the steady-state chattering phenomenon inherent in sliding mode control while improving the transient delays caused by type-2 fuzzy controllers. In addition, the proposed control approach has proven to be successful in coping with varying generator parameters and exhibited good reference tracking. An in-depth comparative study with state-of-the-art advanced control techniques is also the focus of the present paper. The comparative study has three objectives, namely: a qualitative comparative study that aims to compare response times and reference tracking capabilities; a quantitative evaluation that takes into account time-integrated performance criteria; and finally, robustness capabilities. The simulation results, carried out in the Matlab/Simulink environment, have demonstrated the effectiveness and best performance of the proposed hybrid type-2 fuzzy sliding mode control with respect to other advanced techniques included in the comparison study.

Suggested Citation

  • Riyadh Rouabhi & Abdelghafour Herizi & Ali Djerioui, 2024. "Performance of Robust Type-2 Fuzzy Sliding Mode Control Compared to Various Conventional Controls of Doubly-Fed Induction Generator for Wind Power Conversion Systems," Energies, MDPI, vol. 17(15), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:15:p:3778-:d:1447047
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    References listed on IDEAS

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    1. Abolvafaei, Mahnaz & Ganjefar, Soheil, 2020. "Maximum power extraction from wind energy system using homotopy singular perturbation and fast terminal sliding mode method," Renewable Energy, Elsevier, vol. 148(C), pages 611-626.
    2. Pan, Lin & Shao, Chengpeng, 2020. "Wind energy conversion systems analysis of PMSG on offshore wind turbine using improved SMC and Extended State Observer," Renewable Energy, Elsevier, vol. 161(C), pages 149-161.
    3. Hu, Lu & Xue, Fei & Qin, Zijian & Shi, Jiying & Qiao, Wen & Yang, Wenjing & Yang, Ting, 2019. "Sliding mode extremum seeking control based on improved invasive weed optimization for MPPT in wind energy conversion system," Applied Energy, Elsevier, vol. 248(C), pages 567-575.
    4. Kadri, Ameni & Marzougui, Hajer & Aouiti, Abdelkrim & Bacha, Faouzi, 2020. "Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system," Energy, Elsevier, vol. 192(C).
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