Unified cost function model predictive control for a three-stage smart transformer

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages8
ISBN (Electronic)9781728151359
Publication statusPublished - 16 Nov 2021
Event2021 IEEE Energy Conversion Congress and Exposition (ECCE) - Vancouver, BC, Canada
Duration: 10 Oct 202114 Oct 2021


Conference2021 IEEE Energy Conversion Congress and Exposition (ECCE)


  • Low voltage
  • Renewable energy sources
  • Simulation
  • Transformers
  • Cost function
  • Numerical simulation
  • Topology


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