PRBS-based loop gain identification and output impedance shaping in DC microgrid power converters

Aram Khodamoradi, Guangyuan Liu, Paolo Mattavelli, Tuomas Messo, Hossein Abedini

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Due to potential dynamic interactions among dc microgrid power converters, the performance of some of their control loops can vary from the designed behavior. Thus, online monitoring of different control loops within a dc microgrid power converter is highly desirable. This paper proposes the simultaneous identification of several control loops within dc microgrid power converters, by injecting orthogonal pseudo-random binary sequences (PRBSs), and measuring all the loop gains in one measurement cycle. The identification results can be used for different purposes such as controller autotuning, impedance shaping, etc. Herein, an example of output impedance estimation and shaping based on locally-measured loop gains is presented. The proposed identification technique and its application in output impedance shaping are validated on an experimental dc microgrid prototype, composed of three droop-controlled power converters.

Original languageEnglish
Pages (from-to)129-141
Number of pages13
JournalMathematics and Computers in Simulation
Volume183
Early online date2020
DOIs
Publication statusPublished - 2021
Publication typeA1 Journal article-refereed

Keywords

  • DC microgrid
  • Impedance shaping
  • Loop gain identification

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Numerical Analysis
  • Modelling and Simulation
  • Applied Mathematics

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