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Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System

Author

Listed:
  • Habib Benbouhenni

    (Department of Electrical & Electronics Engineering, Faculty of Engineering and Architecture, Nisantasi University, Istanbul 34481742, Turkey)

  • Nicu Bizon

    (Doctoral School, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania
    Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
    ICSI Energy, National Research and Development Institute for Cryogenic and Isotopic Technologies, 240050 Ramnicu Valcea, Romania)

Abstract

The main goal of this paper is to increase the active/reactive power extracted from variable-speed dual-rotor wind power (DRWP) based on doubly-fed induction generators (DFIG) by optimizing its operation using advanced direct vector control. First, the dynamic modeling of different parts of the system is introduced. The DFIG is modeled in the Park reference system. After that, the control techniques are introduced in detail. Direct vector command (DVC) with four-level fuzzy pulse width modulation (FPWM) is used to control the rotor current, thereby controlling the reactive power and active power of the generator. Then, use the neural network design to replace the traditional proportional-integral (PI) controller. Finally, the Matlab/Simulink software is used for simulation to prove the effectiveness of the command strategy using 1.5 MW DRWP. The results show good performance in terms of response time, stability, and precision in following the reference under variable wind speed conditions. In addition, the total harmonic distortion (THD) value of stator current is about 0.13%, being a bit less than other THD values reported in the literature.

Suggested Citation

  • Habib Benbouhenni & Nicu Bizon, 2021. "Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System," Mathematics, MDPI, vol. 9(19), pages 1-36, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2403-:d:644274
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    References listed on IDEAS

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    1. Arthur Medeiros & Thales Ramos & José Tavares de Oliveira & Manoel F. Medeiros Júnior, 2020. "Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy," Energies, MDPI, vol. 13(3), pages 1-28, February.
    2. Peng Cheng & Chao Wu & Fuwei Ning & Jing He, 2020. "Voltage Modulated DPC Strategy of DFIG Using Extended Power Theory under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 13(22), pages 1-16, November.
    3. Abdullahi Abubakar Mas’ud & Jorge Alfredo Ardila-Rey & Ricardo Albarracín & Firdaus Muhammad-Sukki & Nurul Aini Bani, 2017. "Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources," Energies, MDPI, vol. 10(7), pages 1-20, July.
    4. Habib Benbouhenni & Nicu Bizon, 2021. "A Synergetic Sliding Mode Controller Applied to Direct Field-Oriented Control of Induction Generator-Based Variable Speed Dual-Rotor Wind Turbines," Energies, MDPI, vol. 14(15), pages 1-17, July.
    5. Hesong Cui & Xueping Li & Gongping Wu & Yawei Song & Xiao Liu & Derong Luo, 2021. "MPC Based Coordinated Active and Reactive Power Control Strategy of DFIG Wind Farm with Distributed ESSs," Energies, MDPI, vol. 14(13), pages 1-19, June.
    6. Ronglin Ma & Yaozhen Han & Weigang Pan, 2021. "Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation," Energies, MDPI, vol. 14(2), pages 1-20, January.
    7. Paweł Kroplewski & Marcin Morawiec & Andrzej Jąderko & Charles Odeh, 2021. "Simulation Studies of Control Systems for Doubly Fed Induction Generator Supplied by the Current Source Converter," Energies, MDPI, vol. 14(5), pages 1-16, March.
    8. Ana Susperregui & Juan Manuel Herrero & Miren Itsaso Martinez & Gerardo Tapia-Otaegui & Xavier Blasco, 2019. "Multi-Objective Optimisation-Based Tuning of Two Second-Order Sliding-Mode Controller Variants for DFIGs Connected to Non-Ideal Grid Voltage," Energies, MDPI, vol. 12(19), pages 1-26, October.
    9. Soumyadeep Nag & Kwang Y. Lee, 2021. "Neural Network-Based Control for Hybrid PV and Ternary Pumped-Storage Hydro Plants," Energies, MDPI, vol. 14(15), pages 1-23, July.
    10. Yaozhen Han & Shuzhen Li & Cuiqi Du, 2020. "Adaptive Higher-Order Sliding Mode Control of Series-Compensated DFIG-Based Wind Farm for Sub-Synchronous Control Interaction Mitigation," Energies, MDPI, vol. 13(20), pages 1-21, October.
    11. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.
    12. Gianluca Brando & Adolfo Dannier & Ivan Spina, 2021. "Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation," Energies, MDPI, vol. 14(5), pages 1-13, February.
    13. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
    14. Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
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    Cited by:

    1. Mansoor Soomro & Zubair Ahmed Memon & Mazhar Hussain Baloch & Nayyar Hussain Mirjat & Laveet Kumar & Quynh T. Tran & Gaetano Zizzo, 2023. "Performance Improvement of Grid-Integrated Doubly Fed Induction Generator under Asymmetrical and Symmetrical Faults," Energies, MDPI, vol. 16(8), pages 1-20, April.
    2. Habib Benbouhenni & Nicu Bizon & Ilhami Colak & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Simplified Super Twisting Sliding Mode Approaches of the Double-Powered Induction Generator-Based Multi-Rotor Wind Turbine System," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    3. Syed Wajahat Ali & Anant Kumar Verma & Yacine Terriche & Muhammad Sadiq & Chun-Lien Su & Chung-Hong Lee & Mahmoud Elsisi, 2022. "Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems," Mathematics, MDPI, vol. 10(22), pages 1-22, November.
    4. 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.

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