An effective Model Predictive Control for grid connected Packed U Cells multilevel inverter

Mohamed Trabelsi, Sertac Bayhan, Morcos Metry, Haitham Abu-Rub, Lazhar Ben-Brahim, Robert Balog

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

18 Citations (Scopus)

Abstract

This paper presents a Model Predictive Control (MPC) for grid-tied Packed U Cells (PUC) multilevel inverter. The system under study consists of a single-phase 3-cell PUC inverter connected to the grid through filtering inductor. The proposed topology allows the generation of 7-level output voltage with reduction of passive and active components compared to the conventional multilevel inverters. The aim of the proposed MPC technique is to achieve grid-tied current injection, low Total Harmonic Distortion (THD) of the current, unity power factor, while balancing the capacitor voltages at maximum power point (MPP). The feasibility of this strategy is validated by simulation using Matlab/Simulink environment.

Original languageEnglish
Title of host publication2016 IEEE Power and Energy Conference at Illinois, PECI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509002610
DOIs
Publication statusPublished - 25 Apr 2016
EventIEEE Power and Energy Conference at Illinois, PECI 2016 - Urbana, United States
Duration: 19 Feb 201620 Feb 2016

Other

OtherIEEE Power and Energy Conference at Illinois, PECI 2016
CountryUnited States
CityUrbana
Period19/2/1620/2/16

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Keywords

  • Grid integration
  • Maximum power point tracking
  • Multilevel inverter
  • Packed U cells inverter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Trabelsi, M., Bayhan, S., Metry, M., Abu-Rub, H., Ben-Brahim, L., & Balog, R. (2016). An effective Model Predictive Control for grid connected Packed U Cells multilevel inverter. In 2016 IEEE Power and Energy Conference at Illinois, PECI 2016 [7459233] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECI.2016.7459233