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