Model predictive control for solid state transformer

被引：0

作者：

Nardoto, A. F. ^{[1
]}

Amorim, A. E. A. ^{[1
]}

Encarnacao, L. F. ^{[2
]}

Santos, W. M. ^{[2
]}

Bueno, E. J. ^{[3
]}

Blanco, D. M. ^{[3
]}

机构：

[1] Fed Inst Espirito St, BR-29932540 Vitoria, ES, Brazil

[2] Fed Univ Espirito St, BR-29075910 Vitoria, ES, Brazil

[3] Univ Alcala UAH, Madrid 28801, Spain

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2023年 / 223卷

关键词：

DAB Converter; Finite set; MPC; Inverter; Model predictive control; Multi-level converter; Rectifier; Solid state transformer-SST; CONVERTERS;

D O I：

10.1016/j.epsr.2023.109658

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：7

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