Model predictive control of matrix converter based solid state transformer

Yushan Liu, Yupeng Liu, Haitham Abu-Rub, B. Ge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A model predictive control (MPC) is proposed for two three-to-single-phase matrix converters (MC) in back-to-back connection based solid state transformer (SST). The MC-SST system presents single-stage ac-ac conversion, reduced transformer volume and weight compared to using the conventional line-frequency transformer, and smart transmission capability due to the controllable voltage amplitude and frequency. However, the existing modulation methods contain sophisticated voltage and current vectors computation and duty cycle composition, which could make the control of the proposed topology too complex. In this paper, it is decided to use easy to perform MPC for the whole scheme. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system, and evaluates a cost function that ensures closest value to the current reference of ac outputs. The best switching state is selected to drive the power devices in the next sampling period. Simulation studies carried out on different voltage amplitude and frequency between ac inputs and outputs, as well as load power variations demonstrated the effectiveness and simplicity of the proposed MPC for the MC-SST.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1248-1253
Number of pages6
Volume2016-May
ISBN (Electronic)9781467380751
DOIs
Publication statusPublished - 19 May 2016
EventIEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China
Duration: 14 Mar 201617 Mar 2016

Other

OtherIEEE International Conference on Industrial Technology, ICIT 2016
CountryTaiwan, Province of China
CityTaipei
Period14/3/1617/3/16

Fingerprint

Model predictive control
Electric potential
Cost functions
Topology
Modulation
Sampling
Matrix converters
Networks (circuits)
Chemical analysis

Keywords

  • ac-ac power conversion
  • matrix converter
  • model predictive control
  • Solid state transformer

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Liu, Y., Liu, Y., Abu-Rub, H., & Ge, B. (2016). Model predictive control of matrix converter based solid state transformer. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (Vol. 2016-May, pp. 1248-1253). [7474933] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474933

Model predictive control of matrix converter based solid state transformer. / Liu, Yushan; Liu, Yupeng; Abu-Rub, Haitham; Ge, B.

Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. p. 1248-1253 7474933.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, Y, Liu, Y, Abu-Rub, H & Ge, B 2016, Model predictive control of matrix converter based solid state transformer. in Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. vol. 2016-May, 7474933, Institute of Electrical and Electronics Engineers Inc., pp. 1248-1253, IEEE International Conference on Industrial Technology, ICIT 2016, Taipei, Taiwan, Province of China, 14/3/16. https://doi.org/10.1109/ICIT.2016.7474933
Liu Y, Liu Y, Abu-Rub H, Ge B. Model predictive control of matrix converter based solid state transformer. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Vol. 2016-May. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1248-1253. 7474933 https://doi.org/10.1109/ICIT.2016.7474933
Liu, Yushan ; Liu, Yupeng ; Abu-Rub, Haitham ; Ge, B. / Model predictive control of matrix converter based solid state transformer. Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1248-1253
@inproceedings{8bfe73b8df8e4b038d36c0b765130226,
title = "Model predictive control of matrix converter based solid state transformer",
abstract = "A model predictive control (MPC) is proposed for two three-to-single-phase matrix converters (MC) in back-to-back connection based solid state transformer (SST). The MC-SST system presents single-stage ac-ac conversion, reduced transformer volume and weight compared to using the conventional line-frequency transformer, and smart transmission capability due to the controllable voltage amplitude and frequency. However, the existing modulation methods contain sophisticated voltage and current vectors computation and duty cycle composition, which could make the control of the proposed topology too complex. In this paper, it is decided to use easy to perform MPC for the whole scheme. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system, and evaluates a cost function that ensures closest value to the current reference of ac outputs. The best switching state is selected to drive the power devices in the next sampling period. Simulation studies carried out on different voltage amplitude and frequency between ac inputs and outputs, as well as load power variations demonstrated the effectiveness and simplicity of the proposed MPC for the MC-SST.",
keywords = "ac-ac power conversion, matrix converter, model predictive control, Solid state transformer",
author = "Yushan Liu and Yupeng Liu and Haitham Abu-Rub and B. Ge",
year = "2016",
month = "5",
day = "19",
doi = "10.1109/ICIT.2016.7474933",
language = "English",
volume = "2016-May",
pages = "1248--1253",
booktitle = "Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Model predictive control of matrix converter based solid state transformer

AU - Liu, Yushan

AU - Liu, Yupeng

AU - Abu-Rub, Haitham

AU - Ge, B.

PY - 2016/5/19

Y1 - 2016/5/19

N2 - A model predictive control (MPC) is proposed for two three-to-single-phase matrix converters (MC) in back-to-back connection based solid state transformer (SST). The MC-SST system presents single-stage ac-ac conversion, reduced transformer volume and weight compared to using the conventional line-frequency transformer, and smart transmission capability due to the controllable voltage amplitude and frequency. However, the existing modulation methods contain sophisticated voltage and current vectors computation and duty cycle composition, which could make the control of the proposed topology too complex. In this paper, it is decided to use easy to perform MPC for the whole scheme. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system, and evaluates a cost function that ensures closest value to the current reference of ac outputs. The best switching state is selected to drive the power devices in the next sampling period. Simulation studies carried out on different voltage amplitude and frequency between ac inputs and outputs, as well as load power variations demonstrated the effectiveness and simplicity of the proposed MPC for the MC-SST.

AB - A model predictive control (MPC) is proposed for two three-to-single-phase matrix converters (MC) in back-to-back connection based solid state transformer (SST). The MC-SST system presents single-stage ac-ac conversion, reduced transformer volume and weight compared to using the conventional line-frequency transformer, and smart transmission capability due to the controllable voltage amplitude and frequency. However, the existing modulation methods contain sophisticated voltage and current vectors computation and duty cycle composition, which could make the control of the proposed topology too complex. In this paper, it is decided to use easy to perform MPC for the whole scheme. The proposed MPC predicts the circuit variables based on the discrete model of MC-SST system, and evaluates a cost function that ensures closest value to the current reference of ac outputs. The best switching state is selected to drive the power devices in the next sampling period. Simulation studies carried out on different voltage amplitude and frequency between ac inputs and outputs, as well as load power variations demonstrated the effectiveness and simplicity of the proposed MPC for the MC-SST.

KW - ac-ac power conversion

KW - matrix converter

KW - model predictive control

KW - Solid state transformer

UR - http://www.scopus.com/inward/record.url?scp=84974529308&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84974529308&partnerID=8YFLogxK

U2 - 10.1109/ICIT.2016.7474933

DO - 10.1109/ICIT.2016.7474933

M3 - Conference contribution

AN - SCOPUS:84974529308

VL - 2016-May

SP - 1248

EP - 1253

BT - Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -