Current and Voltage Model Predictive Control for a Three-Stage Smart Transformer

Buticchi, Giampaolo; Tarisciotti, Luca; Wheeler, Pat; Shao, Shuai; Chen, Linglin

Abstract

Power Electronics has been widely employed in many industrial areas: transportation, electrical energy conversion and distribution and power systems. Recently, the attention towards the dc grids has increased, due to the possible advantages in terms of efficiency gain due to the direct connection of power electronics without the ac-dc conversion stage. Solid state transformers are an attractive solution to enable the dc connectivity both for the medium-and low-voltage grids and to provide at the same time additional services to the ac grid. Given that the dc grids are usually power electronics comminated, a good control of the dc buses is envisaged in addition to a good grid current control. This paper shows how a full-predictive current/voltage control for the medium voltage dc-ac converter and the dc-dc converter of a three-stage solid state transformer can offer good performance in the dc bus regulation and outperforms the conventional current control methods for the grid current control.

Citation

Buticchi, G., Tarisciotti, L., Wheeler, P., Shao, S., & Chen, L. (2021, June). Current and Voltage Model Predictive Control for a Three-Stage Smart Transformer. Presented at 30th IEEE International Symposium on Industrial Electronics (ISIE 2021), Kyoto, Japan (online)

• Presentation Conference Type: Edited Proceedings
• Conference Name: 30th IEEE International Symposium on Industrial Electronics (ISIE 2021)
• Start Date: Jun 20, 2021
• End Date: Jun 23, 2021
• Acceptance Date: Jun 20, 2021
• Online Publication Date: Nov 1, 2021
• Publication Date: Jun 20, 2021
• Deposit Date: Jun 14, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 318-322
• Book Title: 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
• ISBN: 978-1-7281-9024-2
• DOI: https://doi.org/10.1109/ISIE45552.2021.9576325
• Public URL: https://nottingham-repository.worktribe.com/output/35447050
• Publisher URL: https://ieeexplore.ieee.org/document/9576325