Broadband Modeling of Power Distribution Networks

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

This paper proposes a modeling and simulation procedure of power distribution networks (PDN) based on polynomial fitting and bilinear transformation to generate datasets for data-driven control of DCDC converters. A measurement setup is proposed which enables the definition of PDN capturing its broadband and high dynamic range characteristics. In order to quantify the modeling error, a method for measuring the required signals and for efficient simulation is proposed. The modeling and simulation procedure is applied to a measured PDN and the modeling error is discussed.

Details

OriginalspracheEnglisch
Titel2024 SICE International Symposium on Control Systems, SICE ISCS 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seiten14-18
Seitenumfang5
ISBN (elektronisch)9784907764814
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Konferenz

Titel2024 SICE International Symposium on Control Systems
KurztitelSICE ISCS 2024
Dauer18 - 20 März 2024
Webseite
OrtHiroshima University
StadtHigashi-Hiroshima
LandJapan

Schlagworte

Schlagwörter

  • data-driven control, frequency-domain responses, power distribution network (PDN), rational interpolation