Small-signal Modeling and Input Impedance of ISOP DC Transformer with Switched Resonant Branches for Self-Voltage Balancing

  • Haiyang Liu*
  • , Shumei Cui
  • , Chuang Liu
  • , Heyang Sun
  • *Corresponding author for this work

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

Abstract

For the input-series-output-parallel (ISOP) DC transformer (DCT), the input voltage sharing (IVS) control is an essential but complex design process. This paper proposes an improved ISOPDCT based on dual-active-bridge modules. By integrating the switched resonant branches in the input bridges of the modules, this topology not only succeeds in the self-voltage balancing without any IVS control but also has few impacts on the dual-active-bridge modules operation. This paper builds a full-order continuous-time small-signal model of the proposed DCT and the closed-loop input impedance for the future unified controller design of the proposed topology. The experimental results and simulation have verified the functions and impedance modeling of the proposed self-voltage balancing DC transformer.

Original languageEnglish
Title of host publicationProceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2818-2823
Number of pages6
ISBN (Electronic)9781665411042
DOIs
StatePublished - 2022
Event5th IEEE International Electrical and Energy Conference, CIEEC 2022 - Nanjing, China
Duration: 27 May 202229 May 2022

Publication series

NameProceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022

Conference

Conference5th IEEE International Electrical and Energy Conference, CIEEC 2022
Country/TerritoryChina
CityNanjing
Period27/05/2229/05/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • ISOP DC transformer
  • input impedance
  • input-side self-voltage balancing
  • small-signal modeling

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