KIT | KIT-Bibliothek | Impressum | Datenschutz

Unified Cost Function Model Predictive Control for a three-stage Smart Transformer

Tarisciotti, Luca; Buticchi, Giampaolo; Carne, Giovanni De; Yang, Jiajun; Gu, Chunyang; Wheeler, Pat

Abstract (englisch):
The massive integration of power electronics-based renewable energy sources has profoundly changed the electrical grid. In this scenario, the smart transformer, which is a solid-state transformer with advanced control and communication features, has been proposed as one of the solutions to offer new grid services, while mitigating electrical grid issues, including voltage/frequency disturbance, harmonics, voltage instability, and to pave the way towards dc grids. The commonly proposed topology for ST is the three-stage ac-dc-dc-ac converter, due to the availability of the dc link at both medium- and low-voltage sides. The control design usually relies on the well-known techniques of pole/zero placement and each conversion stage is considered separately. This paper proposes a unified predictive control of the three stages of the ST that allows to control all the variables with a single cost function. Simulation results show the effectiveness of the proposed solution in guaranteeing excellent current tracking performance and good disturbance rejection.


Originalveröffentlichung
DOI: 10.1109/ECCE47101.2021.9595809
Zugehörige Institution(en) am KIT Institut für Technische Physik (ITEP)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 10.2021
Sprache Englisch
Identifikator ISBN: 978-1-72815-135-9
KITopen-ID: 1000140136
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in IEEE Energy Conversion Congress and Exposition (ECCE), Vancouver, BC, Canada, 10-14 Oct. 2021
Veranstaltung IEEE Energy Conversion Congress and Exposition (ECCE 2021), Vancouver, Kanada, 10.10.2021 – 14.10.2021
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 3468–3475
Projektinformation HGF, HGF IVF, VH-NG-1613
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page