Computationally efficient Direct Model Predictive Control for three-level NPC back-to-back converter PMSG wind turbine systems

Zhenbin Zhang, Ralph Kennel, Christoph Hackl

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

Direct Model Predictive Control (DMPC) is an interesting alternative to classical control methods for multi-level converters where more switching states are available. However, the computational load for conventional DMPC schemes to control multi-level converters is much higher than for modulation based (linear) controllers. Hence, real-time implementation might not be feasible in general. This paper presents two computationally efficient model predictive control schemes for wind turbine systems with three-level neutral-point clamped (NPC) voltage source back-to-back converter and permanent-magnet synchronous generator (PMSG). Both methods allow to reduce the computational load significantly while a similar control performance as with conventional methods can be maintained.

OriginalspracheEnglisch
Titel2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1045-1050
Seitenumfang6
ISBN (elektronisch)9781509020676
DOIs
PublikationsstatusVeröffentlicht - 28 Juli 2016
Veranstaltung2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016 - Capri, Italien
Dauer: 22 Juni 201624 Juni 2016

Publikationsreihe

Name2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016

Konferenz

Konferenz2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
Land/GebietItalien
OrtCapri
Zeitraum22/06/1624/06/16

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