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Design and Experimental Analysis of a Modular Smart Transformer Architecture

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Samenvatting

The Smart Transformer (ST) technology has evolved significantly in the last years, but only few studies have discussed the system level design and explored the system with relevant experimental results. This paper presents the design and experimental analysis of a three-phase 100 kW Smart Transformer, with the aim to demonstrate the potential of such technology in terms of efficiency. The ST architecture explored in this work is composed of two-stage: AC-DC and DC-DC. The first is based on the Cascaded H-Bridge (CHB), and the second is based on the Quadruple-Active-Bridge (QAB) converter. The optimum design of each stage is carried out using the computer-aided approach, where an algorithm is used to select the optimum parameters and components. Moreover, the optimum number of modules in terms of cost and losses is determined. The ST architecture was built and tested in the laboratory. The system has shown an efficiency of approximately 94.6%, demonstrating the potential to be very efficient.

Originele taal-2Engels
Titel2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's861-868
Aantal pagina's8
ISBN van elektronische versie979-8-3503-1644-5
DOI's
StatusGepubliceerd - 29 dec. 2023
Evenement2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, Verenigde Staten van Amerika
Duur: 29 okt. 20232 nov. 2023

Congres

Congres2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Land/RegioVerenigde Staten van Amerika
StadNashville
Periode29/10/232/11/23

Bibliografische nota

Publisher Copyright:
© 2023 IEEE.

Financiering

The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. [616344]-HEART.

FinanciersFinanciernummer
Seventh Framework ProgrammeFP/2007-2013
European Union’s Horizon Europe research and innovation programme616344

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