Power Flow Decoupling Controller for Triple Active Bridge Based on Fourier Decomposition of Transformer Currents

Pavel Purgat, Soumya Bandyopadhyay, Zian Qin, Pavol Bauer

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)
210 Downloads (Pure)

Abstract

This paper proposes a power flows decoupling controller for the triple active bridge converter. The controller is based on a full-order continuous-time model of the TAB converter derived using the generalized average modelling (GAM) technique. GAM uses the Fourier series expansion to decompose the state-space variables into two components, which represent the active power and the reactive power. The controller uses the active power components of the transformer currents to decouple the active power flows between converter ports. Additionally, the implementation of the decoupling controller in the digital domain is detailed in the paper. The decoupling performance of the proposed controller is validated in a hardware experiment.

Original languageEnglish
Title of host publicationAPEC 2020 - 35th Annual IEEE Applied Power Electronics Conference and Exposition
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1201-1208
Number of pages8
ISBN (Electronic)9781728148298
DOIs
Publication statusPublished - 2020
Event35th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2020 - New Orleans, United States
Duration: 15 Mar 202019 Mar 2020

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
Volume2020-March

Conference

Conference35th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2020
Country/TerritoryUnited States
CityNew Orleans
Period15/03/2019/03/20

Keywords

  • control
  • dc microgrid
  • decoupling
  • Fourier series
  • power flow control

Fingerprint

Dive into the research topics of 'Power Flow Decoupling Controller for Triple Active Bridge Based on Fourier Decomposition of Transformer Currents'. Together they form a unique fingerprint.

Cite this