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An Improved Model Predictive Voltage Control With Reduced Computational Burden for T-Type Three-Phase Three-Level Inverters
Indexado
WoS WOS:001132675500020
Scopus SCOPUS_ID:85178074779
DOI 10.1109/TPEL.2023.3333357
Año 2024
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



The traditional finite-set model predictive voltage control for three-phase three-level voltage source inverters with LC-filter suffers from high computational burden, fussy weighting factor adjustment, and variable switching frequency. To address these issues, this article proposes an improved model predictive voltage control scheme with optimal switching sequence. Two voltage vector switching modes are designed to eliminate weighting factors and achieve neutral-point voltage balancing. Furthermore, a subsector optimization method based on boundary conditions is proposed, which avoids the calculation of multiple groups of duty cycle and hence, greatly reducing the computational burden. Additionally, the proposed method operates at a constant switching frequency. The effectiveness of the proposed algorithm is verified by experimental results based on a laboratory prototype from various perspectives, including steady-state and dynamic performance, algorithm execution time, and parameter sensitivity.

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Disciplinas de Investigación



WOS
Engineering, Electrical & Electronic
Scopus
Electrical And Electronic Engineering
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Wang, Youcheng - Soochow Univ - China
Soochow University - China
2 Yang, Yong Hombre Soochow Univ - China
Soochow University - China
3 Chen, Shengwei - Soochow Univ - China
Soochow University - China
4 Chen, Rong - Soochow Univ - China
Soochow University - China
5 Hu, Jiefeng - Federat Univ Australia - Australia
Federation University Australia - Australia
6 Wu, Weimin - Shanghai Maritime Univ - China
Shanghai Maritime University - China
7 Wang, Yiwang - Suzhou Vocat Univ - China
Suzhou Vocational University - China
8 Yang, Hui - Southeast Univ - China
Southeast University - China
9 Zhou, Liwei - Columbia Univ - Estados Unidos
The Fu Foundation School of Engineering and Applied Science - Estados Unidos
10 RODRIGUEZ-PEREZ, JOSE RAMON Hombre Univ San Sebastian Santiago - Chile
Universidad San Sebastián - Chile

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Financiamiento



Fuente
National Natural Science Foundation of China
Science and Technology Planning Project of Suzhou City
Jiangsu Provincial Universities Qing-Lan Project

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
No Statement Available
This work was supported in part by the National Natural Science Foundation of China under Grants 52377195, 51977136, 52277062, and 52007127, in part by the Transformation of Scientific and Technological Achievements in Suzhou (Carbon Peak Carbon Neutral Project) under Grant ST202303, in part by the Science and Technology Planning Project of Suzhou City under Grant SZS2022015, in part by the Jiangsu Provincial Universities Qing-Lan Project, and in part byCONICYTProjects FB0008, ACT192013, and 1170167.

Muestra la fuente de financiamiento declarada en la publicación.