An Indirect Model Predictive Control Method for Grid-Connected Three-Level Neutral Point Clamped Converters with LCL Filters

Mattia Rossi, Petros Karamanakos, Francesco Castelli-Dezza

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a model predictive control (MPC) algorithm for a three-level neutral point clamped converter connected to the grid via an LCL filter. The proposed long horizon MPC method, formulated as a multi-criterion quadratic program (QP), simultaneously controls the grid and converter current as well as the filter capacitor voltage, while meeting the relevant grid standards. To achieve the latter, a carrier-based pulse width modulation (CB-PWM) stage is employed. Finally, soft constraints are included to ensure operation of the system within its safe operating limits, particularly with regards to a potential overcurrent or overvoltage trip during transient operation. The presented simulation results based on a medium-voltage system as well as experimental studies based on a scaled-down prototype verify the effectiveness of the proposed method.

Original languageEnglish
JournalIEEE Transactions on Industry Applications
DOIs
Publication statusE-pub ahead of print - 18 Feb 2022
Publication typeA1 Journal article-refereed

Keywords

  • Capacitors
  • constraints
  • Grid-connected power converters
  • Harmonic analysis
  • model predictive control (MPC)
  • Modulation
  • multiple-input multiple-output (MIMO) control
  • optimal control
  • Power harmonic filters
  • quadratic programming
  • Standards
  • Switching frequency
  • Voltage control

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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