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

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

Mathematics and Computers in Simulation (MATCOM), 2021, vol. 183, issue C, 129-141

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.

Keywords: DC microgrid; Loop gain identification; Impedance shaping (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:183:y:2021:i:c:p:129-141

DOI: 10.1016/j.matcom.2020.04.017

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