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Improved Direct Model Predictive Control for Grid-Connected Power Converters

Author

Listed:
  • Mohamed Abdelrahem

    (Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany
    Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71516, Egypt)

  • José Rodríguez

    (Faculty of Engineering, University Andrés Bello, Santiago 8370146, Chile)

  • Ralph Kennel

    (Chair of Electrical Drive Systems and Power Electronics (EAL), Technische Universität München, 80333 München, Germany)

Abstract

This paper proposes a computationally efficient and robust direct model predictive control (DMPC) technique with enhanced steady-state performance for power converters tied to the electric utility. The discrete space vector modulation (DSVM) method is considered in the design of the suggested DMPC, where virtual voltage vectors (VVs) besides the real ones are utilized for improving the steady-state response of the proposed controller. Furthermore, for averting the high computational burden and making the proposed control technique simple, a deadbeat (DB) function is employed for calculating the reference VV based on the required reference current. Subsequently, a discrete-time integral term is combined with this DB function to enhance the robustness of the suggested DMPC technique against variations of the model parameters. Finally, the best virtual or real VV is chosen by a certain quality function, which will be applied to the power converter in the next sample. The suggested technique is verified by simulation results and its performance is compared with the classical DMPC and voltage-oriented control (VOC).

Suggested Citation

  • Mohamed Abdelrahem & José Rodríguez & Ralph Kennel, 2020. "Improved Direct Model Predictive Control for Grid-Connected Power Converters," Energies, MDPI, vol. 13(10), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2597-:d:360634
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    References listed on IDEAS

    as
    1. Malinowski, M. & Kazmierkowski, M.P. & Trzynadlowski, A., 2003. "Review and comparative study of control techniques for three-phase PWM rectifiers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(3), pages 349-361.
    2. Mohamed Abdelrahem & Ralph Kennel, 2016. "Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
    3. Ahmed Farhan & Mohamed Abdelrahem & Amr Saleh & Adel Shaltout & Ralph Kennel, 2020. "Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation," Energies, MDPI, vol. 13(2), pages 1-18, January.
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    Cited by:

    1. Muhammad Nauman & Wajiha Shireen & Amir Hussain, 2022. "Model-Free Predictive Control and Its Applications," Energies, MDPI, vol. 15(14), pages 1-24, July.
    2. Jaime A. Rohten & David N. Dewar & Pericle Zanchetta & Andrea Formentini & Javier A. Muñoz & Carlos R. Baier & José J. Silva, 2021. "Multivariable Deadbeat Control of Power Electronics Converters with Fast Dynamic Response and Fixed Switching Frequency," Energies, MDPI, vol. 14(2), pages 1-16, January.

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