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Model Predictive Control for Dual-Active-Bridge Converters Supplying Pulsed Power Loads in Naval DC Micro-Grids
Indexado
WoS WOS:000520838900066
Scopus SCOPUS_ID:85075617572
DOI 10.1109/TPEL.2019.2917450
Año 2020
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Pulsed power loads (PPLs) are becoming prevalent in medium-voltage naval dc micro-grids. To alleviate their effects on the system, energy storages are commonly installed. For optimal performance, their interface converters need to have fast dynamics and excellent disturbance rejection capability. Moreover, these converters often need to have voltage transformation and galvanic isolation capability since common energy storage technologies such as batteries and supercaps are typically assembled with low-voltage strings. In order to address these issues, a moving discretized control set model predictive control (MDCS-MPC) is proposed in this paper and applied on a dual-active-bridge converter. Fixed switching frequency is maintained, enabling easy passive components design. The proposed MDCS-MPC has a reduced prediction horizon, which allows low computational burden. The operating principle of theMDCS-MPC is introduced in the development of a cost function, which provides stiff voltage regulation. Resonance damping and sampling noise resistance can also be achieved with the proposed cost function. An adaptive step is introduced to enable a fast transition. Assessments on the performance of the proposed MDCS-MPCare conducted. Comparisons with other control methods are also provided. Experimental validations on a 300 V/300 V 20-kHz 1-kW dual-active-bridge converter are carried out to verify the theoretical claims.

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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 Chen, Linglin - Univ Nottingham - Reino Unido
University of Nottingham - Reino Unido
2 Shao, Shuai - Zhejiang Univ - China
Zhejiang University - China
College of Electrical Engineering, Zhejiang University - China
3 Xiao, Qian - Tianjin Univ - China
Tianjin University - China
4 Tarisciotti, Luca Hombre Universidad Nacional Andrés Bello - Chile
5 Wheeler, Patrick Hombre Univ Nottingham - Reino Unido
University of Nottingham - Reino Unido
6 Dragicevic, T. Hombre Aalborg Univ - Dinamarca
Aalborg Universitet - Dinamarca
Aalborg University - Dinamarca

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Origen de Citas Identificadas



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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 3.37 %
Citas No-identificadas: 96.63 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 3.37 %
Citas No-identificadas: 96.63 %

Financiamiento



Fuente
Office of Naval Research Global

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Agradecimientos



Agradecimiento
This work was supported by the Office of Naval Research Global under Award 62909-17-1-2106. Recommended for publication by Associate Editor R. Ayyanar. (Corresponding authors: Shuai Shao and Qian Xiao.)
Manuscript received March 25, 2019; accepted May 14, 2019. Date of publication May 16, 2019; date of current version November 12, 2019. This work was supported by the Office of Naval Research Global under Award 62909-17-1-2106. Recommended for publication by Associate Editor R. Ayyanar. (Corresponding authors: Shuai Shao and Qian Xiao.) L. Chen and P. W. Wheeler are with the Department of Electrical and Electronics Engineering, University of Nottingham, Nottingham NG7 2RD, U.K. (e-mail: eexlc15@nottingham.ac.uk; eezpww@nottingham.ac.uk). S. Shao is with the College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China (e-mail: shaos@zju.edu.cn). Q. Xiao is with the Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China (e-mail: xiaoqian@tju.edu.cn). L. Tarisciotti is with the Department of Engineering, Universidad Andres Bello, Santiago, Chile (e-mail: luca.tarisciotti@unab.cl). T. Dragicˇević is with the Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark (e-mail: tdr@et.aau.dk). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TPEL.2019.2917450
This work was supported by the Office of Naval Research Global under Award 62909-17-1-2106.
This work was supported by the Office of Naval Research Global under Award 62909-17-1-2106. Recommended for publication by Associate Editor R. Ayyanar. (Corresponding authors: Shuai Shao and Qian Xiao.)

Muestra la fuente de financiamiento declarada en la publicación.