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Model predictive control for solid state transformer

delete2023-10-01
delete0
PRE
AI
A
Adriano F. Nardoto *
A
Arthur Eduardo Alves Amorim
L
Lucas Frizera Encarnação
W
Walbermark M. dos Santos
E
Emilio Bueno
D
D.M. Blanco
DOI:10.1016/j.epsr.2023.109658delete
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摘要

摘要

En 中文
The solid-state transformer (SST) is being presented as a technology that enables the construction of new power systems due to its many advantages. These benefits include reduced weight and volume compared to traditional transformers, power factor compensation, accurate output voltage regulation, harmonic mitigation, short-circuit current limitation, and voltage dip immunity, under certain conditions. Unlike other studies that only demonstrated the effectiveness of Model Predictive Control (MPC) in individual parts of the SST, this study shows the control of an entire SST using the MPC strategy. The performance of the SST during power system transients is evaluated to showcase the features of the SST by predictive control.
Keyword:
DAB Converter
Finite set
MPC
Inverter
Model predictive control
Multi-level converter
Rectifier
Solid state transformer-SST

期刊

Electric Power Systems Research 封面图
Electric Power Systems Research
IF:
4.2
论文数:
1.1W
被引数:
2.2W

机构

U
universidad de alcala
学者数:
7.9K
论文数: 6.8K
被引数: 7
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