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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (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.

Original language	English
Title of host publication	Proceedings of the 19th Workshop on Control and Modeling for Power Electronics, COMPEL 2018
Number of pages	6
Publisher	IEEE Press
Publication date	Jun 2018
Pages	1-6
Article number	8460080
ISBN (Print)	978-1-5386-5542-9
ISBN (Electronic)	978-1-5386-5541-2
DOIs	https://doi.org/10.1109/COMPEL.2018.8460080
Publication status	Published - Jun 2018
Event	19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018 - Padova, Italy Duration: 25 Jun 2018 → 28 Jun 2018

Conference

Conference	19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018
Country/Territory	Italy
City	Padova
Period	25/06/2018 → 28/06/2018

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

Keywords

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

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10.1109/COMPEL.2018.8460080

COMPEL_2018_paper_80Accepted author manuscript, 2.01 MB

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Cite this

@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",

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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. in 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) , pp. 1-6, 19th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2018, Padova, Italy, 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. p. 1-6 8460080 (IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) ).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

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

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

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

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Keywords

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

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