Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance

Ping Liu; Yongheng Yang; Jing Yuan; Frede Blaabjerg

doi:10.1109/COMPEL.2018.8460080

Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance

Ping Liu, Yongheng Yang, Jing Yuan, Frede Blaabjerg

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

2 Citationer (Scopus)

201 Downloads (Pure)

Abstract

The quasi-Z source inverter (qZSI) is one of the most promising power electronics converter topologies suitable for renewable energy applications. However, as a high-order system, its control is challenging. Recently, the model predictive control (MPC) with several advantages has been applied to the qZSI, where the switching behaviors (counts) are not yet optimized. This paper thus exposes a switching-count-reduction scheme for the MPC used in the qZSI. In the proposed scheme, an optimal switching vector is selected through a multi-parameter optimization, which enables reducing switching counts and thus lowering the thermal stress on the power devices. Simulations have been performed to validate the proposal, which is also benchmarked with several conventional MPCs and the PWM-based control.

Originalsprog	Engelsk
Titel	Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018
Antal sider	6
Forlag	IEEE Press
Publikationsdato	jun. 2018
Sider	1-6
Artikelnummer	8460080
ISBN (Trykt)	978-1-5386-5542-9
ISBN (Elektronisk)	978-1-5386-5541-2
DOI	https://doi.org/10.1109/COMPEL.2018.8460080
Status	Udgivet - jun. 2018
Begivenhed	19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018 - Padova, Italien Varighed: 25 jun. 2018 → 28 jun. 2018

Konference

Konference	19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018
Land/Område	Italien
By	Padova
Periode	25/06/2018 → 28/06/2018

Navn	IEEE Workshop on Control and Modeling for Power Electronics (COMPEL)
ISSN	1093-5142

Adgang til dokumentet

10.1109/COMPEL.2018.8460080

COMPEL_2018_paper_80Accepteret manuskript, 2,01 MB

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19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018
Jing Yuan (Deltager)
25 jun. 2018 → 28 jun. 2018
Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i konference

Citationsformater

@inproceedings{26006cf4a82b40298396f81613cb89f6,

title = "Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance",

abstract = "The quasi-Z source inverter (qZSI) is one of the most promising power electronics converter topologies suitable for renewable energy applications. However, as a high-order system, its control is challenging. Recently, the model predictive control (MPC) with several advantages has been applied to the qZSI, where the switching behaviors (counts) are not yet optimized. This paper thus exposes a switching-count-reduction scheme for the MPC used in the qZSI. In the proposed scheme, an optimal switching vector is selected through a multi-parameter optimization, which enables reducing switching counts and thus lowering the thermal stress on the power devices. Simulations have been performed to validate the proposal, which is also benchmarked with several conventional MPCs and the PWM-based control.",

keywords = "Model predictive control (MPC), quasi-Z-source inverter (qZSI), switching count, thermal stress",

author = "Ping Liu and Yongheng Yang and Jing Yuan and Frede Blaabjerg",

year = "2018",

month = jun,

doi = "10.1109/COMPEL.2018.8460080",

language = "English",

isbn = "978-1-5386-5542-9",

series = "IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) ",

publisher = "IEEE Press",

pages = "1--6",

booktitle = "Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018",

note = "19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018 ; Conference date: 25-06-2018 Through 28-06-2018",

}

Liu, P, Yang, Y, Yuan, J & Blaabjerg, F 2018, Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance. i Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018., 8460080, IEEE Press, IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) , s. 1-6, 19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018, Padova, Italien, 25/06/2018. https://doi.org/10.1109/COMPEL.2018.8460080

Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance. / Liu, Ping; Yang, Yongheng; Yuan, Jing et al.
Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018. IEEE Press, 2018. s. 1-6 8460080 (IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) ).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance

AU - Liu, Ping

AU - Yang, Yongheng

AU - Yuan, Jing

AU - Blaabjerg, Frede

PY - 2018/6

Y1 - 2018/6

N2 - The quasi-Z source inverter (qZSI) is one of the most promising power electronics converter topologies suitable for renewable energy applications. However, as a high-order system, its control is challenging. Recently, the model predictive control (MPC) with several advantages has been applied to the qZSI, where the switching behaviors (counts) are not yet optimized. This paper thus exposes a switching-count-reduction scheme for the MPC used in the qZSI. In the proposed scheme, an optimal switching vector is selected through a multi-parameter optimization, which enables reducing switching counts and thus lowering the thermal stress on the power devices. Simulations have been performed to validate the proposal, which is also benchmarked with several conventional MPCs and the PWM-based control.

AB - The quasi-Z source inverter (qZSI) is one of the most promising power electronics converter topologies suitable for renewable energy applications. However, as a high-order system, its control is challenging. Recently, the model predictive control (MPC) with several advantages has been applied to the qZSI, where the switching behaviors (counts) are not yet optimized. This paper thus exposes a switching-count-reduction scheme for the MPC used in the qZSI. In the proposed scheme, an optimal switching vector is selected through a multi-parameter optimization, which enables reducing switching counts and thus lowering the thermal stress on the power devices. Simulations have been performed to validate the proposal, which is also benchmarked with several conventional MPCs and the PWM-based control.

KW - Model predictive control (MPC)

KW - quasi-Z-source inverter (qZSI)

KW - switching count

KW - thermal stress

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U2 - 10.1109/COMPEL.2018.8460080

DO - 10.1109/COMPEL.2018.8460080

M3 - Article in proceeding

AN - SCOPUS:85054489910

SN - 978-1-5386-5542-9

T3 - IEEE Workshop on Control and Modeling for Power Electronics (COMPEL)

SP - 1

EP - 6

BT - Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018

PB - IEEE Press

T2 - 19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018

Y2 - 25 June 2018 through 28 June 2018

ER -

Model Predictive Control for Quasi-Z Source Inverters with Improved Thermal Performance

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