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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

8 Zitate (Scopus)

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.

OriginalspracheEnglisch
TitelProceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781538660539
DOIs
PublikationsstatusVeröffentlicht - 26 Dez. 2018
Veranstaltung2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 - Shenzhen, China
Dauer: 4 Nov. 20187 Nov. 2018

Publikationsreihe

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

Konferenz

Konferenz2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Land/GebietChina
OrtShenzhen
Zeitraum4/11/187/11/18

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