Integrated model predictive control with reduced switching frequency for modular multilevel converters

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

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

The indirect model predictive control (I-MPC) is one of the reduced computational predictive strategies, used to control the modular multilevel converter (MMC). This approach operates at higher switching frequency, which is not desirable for high-power applications. This study proposes an integrated solution for MMC by combining predictive control with the classical energy balancing approach. To implement the predictive algorithm, a detailed three-phase MMC model is presented. The three-phase model includes the zero sequence voltage to reduce the switching frequency of submodules. In addition, the output power quality is enhanced, while operating at reduced switching frequency. The performance of integrated approach is experimentally validated on a laboratory prototype under balanced and unbalanced conditions. In addition, the performance of integrated approach is compared with the existing methodology in terms of output current ripple, switching frequency, computational complexity, and total harmonic distortion.

Original languageEnglish (US)
Pages (from-to)857-863
Number of pages7
JournalIET Electric Power Applications
Volume11
Issue number5
DOIs
StatePublished - May 1 2017

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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