TY - GEN
T1 - Unified Cost Function Model Predictive Control for a three-stage Smart Transformer
AU - Tarisciotti, Luca
AU - Buticchi, Giampaolo
AU - De Carne, Giovanni
AU - Yang, Jiajun
AU - Gu, Chunyang
AU - Wheeler, Pat
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - dc microgrids
KW - predictive control
KW - smart transformer
KW - solid state transformer
UR - http://www.scopus.com/inward/record.url?scp=85123364762&partnerID=8YFLogxK
U2 - 10.1109/ECCE47101.2021.9595809
DO - 10.1109/ECCE47101.2021.9595809
M3 - Conference contribution
AN - SCOPUS:85123364762
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 3468
EP - 3475
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Y2 - 10 October 2021 through 14 October 2021
ER -
