Solid state transformers: a critical review of projects with relevant prototypes and demonstrators

Cervero, D. ; Fotopoulou, M. ; Muñoz-Cruzado, J. ; Rakopoulos, D. ; Stergiopoulos, F. ; Nikolopoulos, N. ; Voutetakis, S. ; Sanz, J. F. (Universidad de Zaragoza)

Resumen: The ongoing energy transition has changed the architecture of electricity networks in ways that conventional power transformers are not able to cope with the new required functionalities. For this purpose, the solid state transformer (SST), which comprises state of the art power electronics with galvanic isolation to interconnect two separate alternating current (AC) or direct current (DC) power grids, is considered to be the dominant solution. The purpose of this paper is to provide a practical, application-oriented review of the SST. In this context, the main functionalities and possible applications of the SST are presented, including smart grids (SGs), data centres, railways, offshore wind farms, etc. Furthermore, the main developed SST prototypes are analysed with special focus on the related projects, demonstrators, stakeholders and rated values, e.g., voltage, switching frequency and power. The analysis is concluded with the future trends and challenges regarding the wider implementation of SST technology in the electrical grid.

Idioma: Inglés

DOI: 10.3390/electronics12040931

Año: 2023

Publicado en: Electronics 12, 4 (2023), 931 [24 pp.]
ISSN: 2079-9292

Factor impacto JCR: 2.6 (2023)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 115 / 250 = 0.46 (2023) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 81 / 179 = 0.453 (2023) - Q2 - T2
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 157 / 353 = 0.445 (2023) - Q2 - T2

Factor impacto CITESCORE: 5.3 - Hardware and Architecture (Q2) - Control and Systems Engineering (Q2) - Electrical and Electronic Engineering (Q2) - Signal Processing (Q2) - Computer Networks and Communications (Q2)

Factor impacto SCIMAGO: 0.644 - Electrical and Electronic Engineering (Q2) - Computer Networks and Communications (Q2) - Signal Processing (Q2) - Hardware and Architecture (Q2) - Control and Systems Engineering (Q2)

Financiación: info:eu-repo/grantAgreement/EC/H2020/957769/EU/Towards Intelligent DC-based hybrid Grids Optimizing the network performance/TIGON

Tipo y forma: Revisión (Versión definitiva)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)