Model predictive control of a matrix-converter based solid state transformer for utility grid interaction

Yushan Liu, Yupeng Liu, Haitham Abu-Rub, Baoming Ge, Robert S. Balog, Yaosuo Xue

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

The matrix converter solid state transformer (MC-SST), formed from the back-to-back connection of two three-to-single-phase matrix converters, is studied for use in the interconnection of two ac grids. The matrix converter topology provides a light weight and low volume single-stage bidirectional ac-ac power conversion without the need for a dc link. Thus, the lifetime limitations of dc-bus storage capacitors are avoided. However, space vector modulation of this type of MC-SST requires to compute vectors for each of the two MCs, which must be carefully coordinated to avoid commutation failure. An additional controller is also required to control power exchange between the two ac grids. In this paper, model predictive control (MPC) is proposed for an MC-SST connecting two different ac power grids. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system and the cost function is formulated so that the optimal switch vector for the next sample period is selected, thereby generating the required grid currents for the SST. Simulation and experimental studies are carried out to demonstrate the effectiveness and simplicity of the proposed MPC for such MC-SST-based grid interfacing systems.

Original languageEnglish
Title of host publicationECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007370
DOIs
StatePublished - 2016
Event2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duration: Sep 18 2016Sep 22 2016

Publication series

NameECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings

Conference

Conference2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Country/TerritoryUnited States
CityMilwaukee
Period09/18/1609/22/16

Funding

FundersFunder number
Qatar National Research FundNPRP X - 033 - 2 - 007

    Keywords

    • Solid state transformer
    • ac-ac power conversion
    • model predictive control
    • power management

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