A new modulated model predictive current controller with reduced computational burden

Euan T. Andrew, Khaled Ahmed, Derrick Holliday

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

Model Predictive Control (MPC) has been widely used for grid connected converters, due to its rapid dynamic response and easy inclusion of system constraints and nonlinearities. Existing finite control set MPC approaches suffer from variable switching frequency, whilst existing modulated MPC implementations suffer from a high computational burden. This paper proposes a new implementation of modulated MPC which offers half the computational burden whilst retaining identical performance. The proposed method is applied to a two-level voltage source converter and its performance is compared to existing approaches in simulation. Experimental results are included to prove the reduced computational burden.
Original languageEnglish
Title of host publication2021 9th International Conference on Smart Grid (icSmartGrid)
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages5
ISBN (Electronic)9781665445313
ISBN (Print)9781665445320
DOIs
Publication statusPublished - 5 Oct 2021

Keywords

  • current control
  • grid connected
  • model predictive control
  • modulated model predictive control
  • voltage source converter

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