Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems

Zhufeng Cui; Zhenbin Zhang; Qifan Yang; Ralph Kennel

doi:10.1109/PEAC.2018.8590232

Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems

Zhufeng Cui, Zhenbin Zhang, Qifan Yang, Ralph Kennel

Chair of High-Power Converter Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Permanent magnet synchronous generator (PMSG) direct drive structure has a wide range of applications in high-power wind energy conversion systems. Considering this type of topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stronger parameter robustness. The proposed control strategies are validated and compared with the conventional MPC in Simulink simulation.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538660539
DOIs	https://doi.org/10.1109/PEAC.2018.8590232
State	Published - 26 Dec 2018
Event	2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 - Shenzhen, China Duration: 4 Nov 2018 → 7 Nov 2018

Publication series

Name	Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

Conference

Conference	2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Country/Territory	China
City	Shenzhen
Period	4/11/18 → 7/11/18

Keywords

Cascaded model predictive control
Direct model predictive control
PMSG Wind energy system
Parameter variation
Robust control
Simulink
Three-level neutral point clamped back-to-back converter

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10.1109/PEAC.2018.8590232

Cite this

Cui, Z., Zhang, Z., Yang, Q., & Kennel, R. (2018). Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. In Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 Article 8590232 (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEAC.2018.8590232

Cui, Zhufeng ; Zhang, Zhenbin ; Yang, Qifan et al. / Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018).

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title = "Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems",

abstract = "Permanent magnet synchronous generator (PMSG) direct drive structure has a wide range of applications in high-power wind energy conversion systems. Considering this type of topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stronger parameter robustness. The proposed control strategies are validated and compared with the conventional MPC in Simulink simulation.",

keywords = "Cascaded model predictive control, Direct model predictive control, PMSG Wind energy system, Parameter variation, Robust control, Simulink, Three-level neutral point clamped back-to-back converter",

author = "Zhufeng Cui and Zhenbin Zhang and Qifan Yang and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/PEAC.2018.8590232",

language = "English",

series = "Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Cui, Z, Zhang, Z, Yang, Q & Kennel, R 2018, Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. in Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018., 8590232, Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018, Shenzhen, China, 4/11/18. https://doi.org/10.1109/PEAC.2018.8590232

Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. / Cui, Zhufeng; Zhang, Zhenbin; Yang, Qifan et al.
Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8590232 (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems

AU - Cui, Zhufeng

AU - Zhang, Zhenbin

AU - Yang, Qifan

AU - Kennel, Ralph

PY - 2018/12/26

Y1 - 2018/12/26

N2 - Permanent magnet synchronous generator (PMSG) direct drive structure has a wide range of applications in high-power wind energy conversion systems. Considering this type of topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stronger parameter robustness. The proposed control strategies are validated and compared with the conventional MPC in Simulink simulation.

AB - Permanent magnet synchronous generator (PMSG) direct drive structure has a wide range of applications in high-power wind energy conversion systems. Considering this type of topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stronger parameter robustness. The proposed control strategies are validated and compared with the conventional MPC in Simulink simulation.

KW - Cascaded model predictive control

KW - Direct model predictive control

KW - PMSG Wind energy system

KW - Parameter variation

KW - Robust control

KW - Simulink

KW - Three-level neutral point clamped back-to-back converter

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M3 - Conference contribution

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T3 - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

BT - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

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Cui Z, Zhang Z, Yang Q, Kennel R. Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. In Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8590232. (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018). doi: 10.1109/PEAC.2018.8590232

Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems

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