Dual-Stage Model Predictive Control with Improved Harmonic Performance for Modular Multilevel Converter

Apparao Dekka, Bin Wu, Venkata Yaramasu, Navid R. Zargari

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

The model predictive control has an ability to achieve multiple control objectives for a modular multilevel converter. This approach has high computational complexity and causes the unwanted switching's leading to a higher ripple in output current and harmonic distortion in output voltage and current waveforms. To solve the issues of computational burden and unwanted switchings, this paper proposes a dual-stage model predictive control approach for a modular multilevel converter. In this approach, the primary objectives are evaluated in first stage corresponding to the redundancy of voltage vectors, while the secondary objectives are evaluated in second stage corresponding to the submodule redundancy. Therefore, the computational burden is significantly minimized without affecting the dynamic response. In addition, a discrete-time model of modular multilevel converter incorporating the common-mode voltage is proposed. The simulation and experimental studies are conducted on a three-phase modular multilevel converter to verify the dynamic and steady-state performance of the proposed approach. The performance comparison between the proposed and conventional model predictive control approach is also presented.

Original languageEnglish (US)
Article number7475903
Pages (from-to)6010-6019
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number10
DOIs
StatePublished - Oct 2016

Keywords

  • Model predictive control (MPC)
  • modular multilevel converter (MMC), power conversion harmonics
  • total harmonic distortion (THD)
  • voltage balance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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