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A Review on Popular Control Applications in Wind Energy Conversion System Based on Permanent Magnet Generator PMSG

Author

Listed:
  • Btissam Majout

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Houda El Alami

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Hassna Salime

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Nada Zine Laabidine

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Youness El Mourabit

    (National School of Applied Sciences, Abdelmalek Essaadi University, Tetouan 93000, Morocco)

  • Saad Motahhir

    (Engineering, Systems and Applications Laboratory, ENSA, SMBA University, Fez 30050, Morocco)

  • Manale Bouderbala

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Mohammed Karim

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

  • Badre Bossoufi

    (LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University Fez, Fez 30050, Morocco)

Abstract

There has always been a high expectation that wind generation systems would capture maximum power and integrate properly with the grid. Utilizing a wind generation system with increased management to meet the growing electricity demand is a clever way of accomplishing this. However, wind power generation systems require a sophisticated, unique, and dependable control mechanism in order to achieve stability and efficiency. To improve the operation of the wind energy conversion method, researchers are continually addressing the obstacles that presently exist. Therefore, it is necessary to know which control can improve the whole system’s performance and ensure its successful integration into the network, despite the variable conductions. This article examines wind turbine control system techniques and controller trends related to the permanent magnet synchronous generator. It presents an overview of the most popular control strategies that have been used to control the PMSG wind power conversion system. Among others, we mention nonlinear sliding mode, direct power, backstepping and predictive currents control. First, a description of each control is presented, followed by a simulation performed in the Matlab/Simulink environment to evaluate the performance of each control in terms of reference tracking, response time, stability and the quality of the signal delivered to the network under variable wind conditions. Finally, to get a clear idea of the effect of each control, this work was concluded with a comparative study of the four controls.

Suggested Citation

  • Btissam Majout & Houda El Alami & Hassna Salime & Nada Zine Laabidine & Youness El Mourabit & Saad Motahhir & Manale Bouderbala & Mohammed Karim & Badre Bossoufi, 2022. "A Review on Popular Control Applications in Wind Energy Conversion System Based on Permanent Magnet Generator PMSG," Energies, MDPI, vol. 15(17), pages 1-41, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6238-:d:898997
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    References listed on IDEAS

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    1. Fan Xiao & Zhe Zhang & Xianggen Yin, 2015. "Fault Current Characteristics of the DFIG under Asymmetrical Fault Conditions," Energies, MDPI, vol. 8(10), pages 1-22, September.
    2. Xusheng Shen & Tao Xie & Tianzhen Wang, 2020. "A Fuzzy Adaptative Backstepping Control Strategy for Marine Current Turbine under Disturbances and Uncertainties," Energies, MDPI, vol. 13(24), pages 1-16, December.
    3. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Liu, Hong-wei & Lei, Peng-fei, 2015. "A novel fuzzy integral sliding mode current control strategy for maximizing wind power extraction and eliminating voltage harmonics," Energy, Elsevier, vol. 85(C), pages 677-686.
    4. Bundi, Josephat Machoka & Ban, Xiaojun & Wekesa, David Wafula & Ding, Shuchen, 2020. "Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques," Renewable Energy, Elsevier, vol. 161(C), pages 756-765.
    5. Mohamed Zribi & Muthana Alrifai & Mohamed Rayan, 2017. "Sliding Mode Control of a Variable- Speed Wind Energy Conversion System Using a Squirrel Cage Induction Generator," Energies, MDPI, vol. 10(5), pages 1-21, May.
    6. Erdal Bekiroglu & Muhammed Duran Yazar, 2022. "MPPT Control of Grid Connected DFIG at Variable Wind Speed," Energies, MDPI, vol. 15(9), pages 1-19, April.
    7. Btissam Majout & Badre Bossoufi & Manale Bouderbala & Mehedi Masud & Jehad F. Al-Amri & Mohammed Taoussi & Mohammed El Mahfoud & Saad Motahhir & Mohammed Karim, 2022. "Improvement of PMSG-Based Wind Energy Conversion System Using Developed Sliding Mode Control," Energies, MDPI, vol. 15(5), pages 1-17, February.
    8. Habib Benbouhenni & Zinelaabidine Boudjema & Nicu Bizon & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Direct Power Control Based on Modified Sliding Mode Controller for a Variable-Speed Multi-Rotor Wind Turbine System Using PWM Strategy," Energies, MDPI, vol. 15(10), pages 1-25, May.
    9. Fardila Mohd Zaihidee & Saad Mekhilef & Marizan Mubin, 2019. "Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review," Energies, MDPI, vol. 12(9), pages 1-27, May.
    10. Yang, Bo & Yu, Tao & Shu, Hongchun & Zhang, Yuming & Chen, Jian & Sang, Yiyan & Jiang, Lin, 2018. "Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine," Renewable Energy, Elsevier, vol. 119(C), pages 577-589.
    11. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
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    Cited by:

    1. Houda El Alami & Badre Bossoufi & Mohammed El Mahfoud & Manale Bouderbala & Btissam Majout & Paweł Skruch & Saleh Mobayen, 2023. "Robust Finite Control-Set Model Predictive Control for Power Quality Enhancement of a Wind System Based on the DFIG Generator," Energies, MDPI, vol. 16(3), pages 1-15, February.
    2. Ihor Shchur & Marek Lis & Yurii Biletskyi, 2023. "A Non-Equilibrium Thermodynamic Approach for Analysis of Power Conversion Efficiency in the Wind Energy System," Energies, MDPI, vol. 16(13), pages 1-25, July.
    3. Kristia Kristia & Mohammad Fazle Rabbi, 2023. "Exploring the Synergy of Renewable Energy in the Circular Economy Framework: A Bibliometric Study," Sustainability, MDPI, vol. 15(17), pages 1-27, September.
    4. Nada Zine Laabidine & Badre Bossoufi & Ismail El Kafazi & Chakib El Bekkali & Najib El Ouanjli, 2023. "Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    5. Rafiq Asghar & Zahid Ullah & Babar Azeem & Sheraz Aslam & Muhammad Harris Hashmi & Ehtsham Rasool & Bilawal Shaker & Muhammad Junaid Anwar & Kainat Mustafa, 2022. "Wind Energy Potential in Pakistan: A Feasibility Study in Sindh Province," Energies, MDPI, vol. 15(22), pages 1-23, November.
    6. Stanisław Chudzik, 2023. "Wind Microturbine with Adjustable Blade Pitch Angle," Energies, MDPI, vol. 16(2), pages 1-16, January.

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