Small Signal Model for Very-Large-Scale Multi-Active-Bridge Differential Power Processing (MAB-DPP) Architecture

Ping Wang, Yenan Chen, Youssef Elasser, Minjie Chen

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

13 Scopus citations

Abstract

Differential power processing (DPP) is applicable to a wide range of applications. This paper systematically investigates the small signal model of very-large-scale multi-Active-bridge differential power processing (MAB-DPP) architecture. The proposed small signal model captures the impact of power losses and provides an accurate and comprehensive understanding about the dynamics of the MAB-DPP converter. The model is compact and highly scalable to very-large-scale MAB-DPP systems. The phase-To-voltage transfer function of a MAB-DPP architecture with an arbitrary number of ports was derived and validated by both SPICE simulations and experimental results. This paper also developed a distributed voltage control strategy, namely distributed phase-shift (DPS) control, which offers high scalability with low computational cost. A 10-port MAB-DPP prototype which can support hot-swapping with a significant step load transient was built and tested to verify the effectiveness of the proposed small signal model and the control strategy.

Original languageEnglish (US)
Title of host publication2019 IEEE 20th Workshop on Control and Modeling for Power Electronics, COMPEL 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728118420
DOIs
StatePublished - Jun 2019
Event20th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2019 - Toronto, Canada
Duration: Jun 17 2019Jun 20 2019

Publication series

Name2019 IEEE 20th Workshop on Control and Modeling for Power Electronics, COMPEL 2019

Conference

Conference20th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2019
Country/TerritoryCanada
CityToronto
Period6/17/196/20/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Keywords

  • differential power processing
  • distributed control
  • multi-Active-bridge
  • series-stacked architecture
  • small signal model
  • very-large-scale power electronics systems

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