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Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine

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Artificial Intelligence of Things for Smart Green Energy Management

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 446))

Abstract

This chapter suggests a nonlinear Backstepping Control approach to manage a variable wind turbine system. The generator used is a dual-fed induction generator (DFIG). The DFIG’s stator is instantly linked to the electrical grid. However, its rotor is connected to the electrical grid through a bidirectional Back-to-Back converter. The proposed methodology, which is based on the stability of the Lyapunov Function, is employed to generate a pulse width modulation (PWM) for the converters. The chapter aims to manage the active and reactive power independently that are injected into the power system. Then again, a maximum power point tracking strategy is used to gain the highest extracted power of a variable wind velocity profile. The introduced control is compared to a vector control strategy. The Simulation results by dint of Matlab/Simulink environment demonstrate that the recommended methodology ensures better system findings in terms of stability, static error, and overshoot.

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Author information

Authors and Affiliations

  1. Laboratory Electronics, Instrumentation and Energy – Team: Exploitation and Processing of Renewable Energy, Department of Physics, Faculty of Sciences, University of Chouaib Doukkali, El Jadida, Morocco

    Elmostafa Chetouani, Youssef Errami, Abbellatif Obbadi & Smail Sahnoun

Authors
  1. Elmostafa Chetouani
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  2. Youssef Errami
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  3. Abbellatif Obbadi
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  4. Smail Sahnoun
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Corresponding author

Correspondence to Elmostafa Chetouani .

Editor information

Editors and Affiliations

  1. Departement of Electrical Engineering, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Sarah El Himer

  2. Moulay Ismail University, Meknes, Morocco

    Mariyam Ouaissa

  3. Department of Electrical Engineering, Bright Star University, El-Brega, Libya

    Abdulrahman A. A. Emhemed

  4. Moulay Ismail University, Meknes, Morocco

    Mariya Ouaissa

  5. University of Hassan II Casablanca, El Mansouria, Morocco

    Zakaria Boulouard

Appendix

Appendix

See Tables 1 and 2.

Table 1 A list of input variables
Full size table
Table 2 Vector control gains of the PI regulators
Full size table

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Chetouani, E., Errami, Y., Obbadi, A., Sahnoun, S. (2022). Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine. In: El Himer, S., Ouaissa, M., Emhemed, A.A.A., Ouaissa, M., Boulouard, Z. (eds) Artificial Intelligence of Things for Smart Green Energy Management. Studies in Systems, Decision and Control, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-04851-7_3

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