A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter

Yushan Liu, Baoming Ge, Haitham Abu-Rub

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

4 Citations (Scopus)

Abstract

A model predictive control (MPC) is proposed for a buck-type active power filter (APF) integrated single-phase quasi-Z-source inverter (qZSI) to directly eliminate the dc-side low-frequency ripple power. The buck-type APF operates independently from the main circuit power devices, comparing to the coupled-type APF. The proposed MPC compensates the low-frequency ripple power directly by the APF capacitor power and achieves fast responses during load power changes. There is no requirement to preset the capacitor voltage, thus to easily handle the non-linear loads. With the proposed solution, the APF is able to freely divert the dc-side low frequency (not only double line frequency) ripple power to the APF's capacitor in the form of highly fluctuated voltage and current, so as to decrease qZS inductance and capacitance. The buck-type APF is analyzed and the proposed method is illustrated. Simulation results demonstrate the validity of the proposed approach.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1540-1545
Number of pages6
ISBN (Electronic)9781509053209
DOIs
Publication statusPublished - 26 Apr 2017
Event2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada
Duration: 23 Mar 201725 Mar 2017

Other

Other2017 IEEE International Conference on Industrial Technology, ICIT 2017
CountryCanada
CityToronto
Period23/3/1725/3/17

Fingerprint

Model predictive control
Capacitors
Electric potential
Inductance
Capacitance
Networks (circuits)

Keywords

  • Active power filter
  • Low-frequency ripple
  • Model predictive control
  • Non-linear loads
  • Quasi-Z-source inverter

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Liu, Y., Ge, B., & Abu-Rub, H. (2017). A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter. In 2017 IEEE International Conference on Industrial Technology, ICIT 2017 (pp. 1540-1545). [7915596] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2017.7915596

A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter. / Liu, Yushan; Ge, Baoming; Abu-Rub, Haitham.

2017 IEEE International Conference on Industrial Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1540-1545 7915596.

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

Liu, Y, Ge, B & Abu-Rub, H 2017, A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter. in 2017 IEEE International Conference on Industrial Technology, ICIT 2017., 7915596, Institute of Electrical and Electronics Engineers Inc., pp. 1540-1545, 2017 IEEE International Conference on Industrial Technology, ICIT 2017, Toronto, Canada, 23/3/17. https://doi.org/10.1109/ICIT.2017.7915596
Liu Y, Ge B, Abu-Rub H. A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter. In 2017 IEEE International Conference on Industrial Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1540-1545. 7915596 https://doi.org/10.1109/ICIT.2017.7915596
Liu, Yushan ; Ge, Baoming ; Abu-Rub, Haitham. / A model predictive control for low-frequency ripple power elimination of active power filter integrated single-phase quasi-Z-source inverter. 2017 IEEE International Conference on Industrial Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1540-1545
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