Improved model predictive control for high voltage quality in microgrid applications

T. Dragicevic, Mohamed Al hasheem, M. Lu, Frede Blaabjerg

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

11 Citations (Scopus)

Abstract

This paper proposes an improvement of the finite control set model predictive control (FCS-MPC) strategy for enhancing the voltage regulation performance of a voltage source converter (VSC) used for standalone microgrid and uninterrupted power supply (UPS) applications. The modification is based on tracking the voltage reference trajectory derivative using a single step prediction horizon. The main results are: 1) reduction of the total harmonic distortion (THD) and better tracking of fundamental voltage component compared with the conventional FCS-MPC, 2) lower computational burden compared to multi-step prediction horizon strategies, and 3) preserved fast dynamic response to abrupt load changes. These findings have been validated for both linear and nonlinear loads through experimental verification on a 15kW two-level VSC prototype.
Original languageEnglish
Title of host publicationProceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages6
PublisherIEEE Press
Publication dateOct 2017
Pages4475-4480
ISBN (Electronic)978-1-5090-2998-3
DOIs
Publication statusPublished - Oct 2017
Event2017 IEEE Energy Conversion Congress and Exposition (ECCE) - Cincinnati, Ohio, United States
Duration: 1 Oct 20175 Oct 2017

Conference

Conference2017 IEEE Energy Conversion Congress and Exposition (ECCE)
CountryUnited States
CityCincinnati, Ohio
Period01/10/201705/10/2017

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Keywords

  • Finite control set (FCS)
  • Autonomous converter
  • Model predictive control (MPC)
  • Microgrid (MG)

Cite this

Dragicevic, T., Al hasheem, M., Lu, M., & Blaabjerg, F. (2017). Improved model predictive control for high voltage quality in microgrid applications. In Proceedings of 2017 IEEE Energy Conversion Congress and Exposition (ECCE) (pp. 4475-4480). IEEE Press. https://doi.org/10.1109/ECCE.2017.8096768