Global Simulation Model Design of Input-Serial, Output-Parallel Solid-State Transformer for Smart Grid Applications

Kristian Takacs, Michal Frivaldsky (), Vladimir Kindl and Petr Bernat
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Kristian Takacs: Department of Mechatronics and Electronics, Faculty of Electrical Engineering and Information Technologies, University of Zilina, 010 26 Zilina, Slovakia
Michal Frivaldsky: Department of Mechatronics and Electronics, Faculty of Electrical Engineering and Information Technologies, University of Zilina, 010 26 Zilina, Slovakia
Vladimir Kindl: Research and Innovation Center for Electrical Engineering, Faculty of Electrical Engineering, University of West Bohemia, 30100 Pilsen, Czech Republic
Petr Bernat: Department of Electrical Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Ostrava, 70800 Ostrava, Czech Republic

Energies, 2023, vol. 16, issue 11, 1-20

Abstract: This paper provides an overview of an early attempt at developing a simulation model on a solid-state transformer (SST) based on input-serial and output-parallel (ISOP) topology. The proposed SST is designed as a base for a smart grid (SG). The paper provides a theoretical review of the power converters under consideration, as well as their control techniques. Further, the paper presents a simulation model of the proposed concept with a PLECS circuit simulator. The proposed simulation model examines bidirectional energy flow control between the medium-voltage AC grid and DC smart grid, while evaluating power flow efficiency and qualitative indicators of the AC grid. After the completion of design verification and electrical properties analysis by the PLECS simulation models, the synthesis offers recommendations on the optimal layout of the proposed SST topology for smart grid application.

Keywords: smart grid; control strategy; power semiconductor converter; solid-state transformer; simulation; PLECS; hardware in the loop (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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