Modulated Model Predictive Control of Power Electronics Transformer Based on Isolated Modular Multilevel Converter

Dehao Kong, Zhenbin Zhang, Chuang Liu, Wei Tian, Xiaonan Gao, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

Multi-port power electronic transformers (PETs) have been seen as a promising alternative of traditional line frequency transformers in distribution networks. In comparison, the PETs with a single stage conversion have a simpler structure and smaller size than the PETs with multiple stage conversion. However, they are still so complex systems with various control objectives that the conventional proportional integral (PI) controller has to use multiple control loops complicating the whole system. In this paper, a modulated model predictive control (MMPC) strategy was proposed for an isolated modular multilevel converter (I-MMC) with a single stage conversion to improve dynamic performance while simplifying the control system. The control strategy of I-MMC based on PI scheme and MMPC scheme are compared in MATLAB/SIMULINK. The high dynamic performance of I-MMC with proposed MMPC strategy is verified by the simulation results.

OriginalspracheEnglisch
Titel6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten831-835
Seitenumfang5
ISBN (elektronisch)9781665425575
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, China
Dauer: 20 Nov. 202122 Nov. 2021

Publikationsreihe

Name6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

Konferenz

Konferenz6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Land/GebietChina
OrtJinan
Zeitraum20/11/2122/11/21

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