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

Ferdinand Grimm, Zhenbin Zhang, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2895-2900
Number of pages6
ISBN (Electronic)9784886864055
DOIs
StatePublished - 22 Oct 2018
Event8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 - Niigata, Japan
Duration: 20 May 201824 May 2018

Publication series

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

Conference

Conference8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Country/TerritoryJapan
CityNiigata
Period20/05/1824/05/18

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