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

Zhenbin Zhang, Ralph Kennel, Christoph Hackl

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

4 Scopus citations

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.

Original languageEnglish
Title of host publication2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1045-1050
Number of pages6
ISBN (Electronic)9781509020676
DOIs
StatePublished - 28 Jul 2016
Event2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016 - Capri, Italy
Duration: 22 Jun 201624 Jun 2016

Publication series

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

Conference

Conference2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2016
Country/TerritoryItaly
CityCapri
Period22/06/1624/06/16

Keywords

  • Computationally-Efficient Model Predictive Control
  • Grid-tied Back-to-Back Power Converter
  • PMSG Wind Turbine Systems
  • Three-level NPC

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