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Model Predictive Control for Solid State Transformers: Advances and Trends

Author

Listed:
  • Tiago Oliveira

    (Department of Electrical and Computer Engineering (DEEC), University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal
    Instituto de Telecomunicações, University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal)

  • André Mendes

    (Department of Electrical and Computer Engineering (DEEC), University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal
    Instituto de Telecomunicações, University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal)

  • Luís Caseiro

    (Instituto de Telecomunicações, University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal
    Eneida.io, Rua Alexandre Herculano 21B, P-3000-104 Coimbra, Portugal)

Abstract

Due to its high functionality, the solid state transformer (SST) represents an emerging technology with huge potential to replace the conventional low-frequency transformer (LFT) in a wide range of applications, including railway traction, smart grids, and others. On the other hand, model predictive control (MPC) has proven to be a highly promising control approach for several power electronics systems, especially those based on multiple power converters. Considering these facts, over recent years, different MPC techniques have been proposed for different types of SSTs. In addition to that, numerous MPC strategies have also been investigated for various power converters topologies that can be used in SSTs. However, a paper summarizing and discussing MPC strategies in the framework of SSTs has not yet been proposed in the literature, being the main goal of this work. In this paper, all the existing MPC techniques in complete SST topologies will be presented and discussed. In addition, for the sake of the example, an overview of MPC strategies in converter topologies typically used in SSTs will also be presented.

Suggested Citation

  • Tiago Oliveira & André Mendes & Luís Caseiro, 2022. "Model Predictive Control for Solid State Transformers: Advances and Trends," Energies, MDPI, vol. 15(22), pages 1-27, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8349-:d:966969
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    References listed on IDEAS

    as
    1. Tiago Oliveira & Luís Caseiro & André Mendes & Sérgio Cruz & Marina Perdigão, 2021. "Model Predictive Control for Paralleled Uninterruptible Power Supplies with an Additional Inverter Leg for Load-Side Neutral Connection," Energies, MDPI, vol. 14(8), pages 1-29, April.
    2. Roberto O. Ramírez & Carlos R. Baier & José Espinoza & Felipe Villarroel, 2020. "Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter," Energies, MDPI, vol. 13(20), pages 1-18, October.
    3. Mohammed Azharuddin Shamshuddin & Felix Rojas & Roberto Cardenas & Javier Pereda & Matias Diaz & Ralph Kennel, 2020. "Solid State Transformers: Concepts, Classification, and Control," Energies, MDPI, vol. 13(9), pages 1-35, May.
    Full references (including those not matched with items on IDEAS)

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