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Model predictive control for solid state transformer
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AI
DOI：10.1016/j.epsr.2023.109658.png)
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Abstract
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.
Keywords:
DAB Converter
Finite set
MPC
Inverter
Model predictive control
Multi-level converter
Rectifier
Solid state transformer-SST
Journal
IF:
4.2
Papers:
1.1W
Citations:
2.2W