LAPSE:2023.7723
Published Article

LAPSE:2023.7723
Model Predictive Control for Solid State Transformers: Advances and Trends
February 24, 2023
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.
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.
Record ID
Keywords
digital control, energy router, Model Predictive Control, multi-port system, power electronics transformer, power quality, solid state transformer
Subject
Suggested Citation
Oliveira T, Mendes A, Caseiro L. Model Predictive Control for Solid State Transformers: Advances and Trends. (2023). LAPSE:2023.7723
Author Affiliations
Oliveira T: 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 [ORCID]
Mendes A: 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 [ORCID]
Caseiro L: Instituto de Telecomunicações, University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal; Eneida.io, Rua Alexandre Herculano 21B, P-3000-104 Coimbra, Portugal [ORCID]
Mendes A: 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 [ORCID]
Caseiro L: Instituto de Telecomunicações, University of Coimbra—Pole 2, P-3030-290 Coimbra, Portugal; Eneida.io, Rua Alexandre Herculano 21B, P-3000-104 Coimbra, Portugal [ORCID]
Journal Name
Energies
Volume
15
Issue
22
First Page
8349
Year
2022
Publication Date
2022-11-08
ISSN
1996-1073
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Original Submission
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PII: en15228349, Publication Type: Review
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LAPSE:2023.7723
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https://doi.org/10.3390/en15228349
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Feb 24, 2023
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