Finite-Control-Set Model Predictive Control for Grid-Connected Packed-U-Cells Multilevel Inverter

Mohamed Trabelsi, Sertac Bayhan, Khalid Ahmed Ghazi, Haitham Abu-Rub, Lazhar Ben-Brahim

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

This paper presents a finite-control-set model predictive control (FCS-MPC) for grid-tied packed U cells (PUC) multilevel inverter (MLI). The system under study consists of a single-phase 3-cells PUC inverter connected to the grid through filtering inductor. The proposed competitive topology allows the generation of 7-level output voltage with reduction of passive and active components compared to the conventional MLIs. The aim of the proposed FCS-MPC technique is to achieve, under various operating conditions, grid-tied current injection with unity power factor and low total harmonic distortion while balancing the capacitor voltage. Parameters' sensitivity analysis was also conducted. The study is conducted on a low-power case study single-phase 3-cells PUC inverter and with possible extension to higher number of cells. Theoretical analysis, simulation, and experimental results are presented and compared.

Original languageEnglish
Article number7462232
Pages (from-to)7286-7295
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Fingerprint

Model predictive control
Harmonic distortion
Electric potential
Sensitivity analysis
Capacitors
Topology

Keywords

  • Grid connection
  • model predictive control
  • packed U cells (PUC) inverter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Finite-Control-Set Model Predictive Control for Grid-Connected Packed-U-Cells Multilevel Inverter. / Trabelsi, Mohamed; Bayhan, Sertac; Ghazi, Khalid Ahmed; Abu-Rub, Haitham; Ben-Brahim, Lazhar.

In: IEEE Transactions on Industrial Electronics, Vol. 63, No. 11, 7462232, 01.11.2016, p. 7286-7295.

Research output: Contribution to journalArticle

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