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

Tarisciotti L.; Buticchi G.; De Carne G.; Yang, JJ; Gu, CY; Wheeler P.

Keywords: predictive control, solid state transformer, DC microgrids, smart transformer

Abstract

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.

Más información

Título según WOS: Unified Cost Function Model Predictive Control for a three-stage Smart Transformer
Título según SCOPUS: Unified Cost Function Model Predictive Control for a three-stage Smart Transformer
Título de la Revista: 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2021
Página final: 3475
Idioma: English
DOI:

10.1109/ECCE47101.2021.9595809

Notas: ISI, SCOPUS