Real-time implementation of finite control set model predictive control for matrix converter based solid state transformer

Yupeng Liu, Wencheng Wang, Yushan Liu, Sertac Bayhan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Solid state transformer formed by back-to-back connection of two three-to-single-phase matrix converter, so called MC-SST, owns ac–ac power conversion in a single stage and an absence of the bulky line-frequency transformer when linking ac sources of different voltage amplitudes and frequencies. Current modulation methods for this topology include sophisticated computation of current and voltage vectors besides duty cycle composition. Moreover, extra control design is required to manage the power exchange. In this paper, the easy-to-perform finite control set model predictive control (FCS-MPC) for this type of MC-SST is implemented in real-time platform and compared with the proportional–integral control strategy. The active power changes, different voltage amplitudes and phases, and parameter variations are investigated. Simulation and real-time implementation results demonstrate the simplicity and validity of the MPC approach for power management of the MC-SST system.

Original languageEnglish
Pages (from-to)17976-17983
Number of pages8
JournalInternational Journal of Hydrogen Energy
Volume42
Issue number28
DOIs
Publication statusPublished - 13 Jul 2017

Fingerprint

Model predictive control
transformers
converters
solid state
Electric potential
matrices
electric potential
Topology
Modulation
topology
platforms
Chemical analysis
modulation
cycles
Matrix converters
simulation

Keywords

  • Grid interfacing
  • Matrix converter
  • Real-time implementation
  • Solid state transformer

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

Cite this

Real-time implementation of finite control set model predictive control for matrix converter based solid state transformer. / Liu, Yupeng; Wang, Wencheng; Liu, Yushan; Bayhan, Sertac.

In: International Journal of Hydrogen Energy, Vol. 42, No. 28, 13.07.2017, p. 17976-17983.

Research output: Contribution to journalArticle

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