Sphere Decoding Based Long-Horizon Predictive Control of Three-level NPC Back-to-Back PMSG Wind Turbine Systems

Ferdinand Grimm, Zhenbin Zhang, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

We propose a computationally efficient control scheme for model predictive control of a three level-neutral point clamped (NPC) inverter permanent magnet synchronous generator (PMSG) back-to-back system. In order to increase the performance a multistep prediction of the system behaviour is applied. Therefore, multistep prediction models for the machine side as well as the grid side are introduced. Since the computational complexity would be growing exponentially with increasing horizon length we apply a sphere decoding algorithm to reduce the computational complexity. The sphere decoding algorithm can only be used for linear systems while the 3L-NPC BTB system is nonlinear. Therefore different simplification methods are studied in this paper.

OriginalspracheEnglisch
Titel2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten2895-2900
Seitenumfang6
ISBN (elektronisch)9784886864055
DOIs
PublikationsstatusVeröffentlicht - 22 Okt. 2018
Veranstaltung8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 - Niigata, Japan
Dauer: 20 Mai 201824 Mai 2018

Publikationsreihe

Name2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018

Konferenz

Konferenz8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Land/GebietJapan
OrtNiigata
Zeitraum20/05/1824/05/18

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