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Efficient power‐bus modeling based on an adaptive frequency sampling technique
Author(s) -
Antonini Giulio,
Deschrijver Dirk,
Dhaene Tom
Publication year - 2008
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.698
Subject(s) - adaptive sampling , sampling (signal processing) , conductor , power (physics) , computer science , electronic engineering , power network , algorithm , control theory (sociology) , mathematical optimization , electric power system , engineering , mathematics , telecommunications , artificial intelligence , statistics , physics , geometry , control (management) , quantum mechanics , detector , monte carlo method
This paper presents an adaptive frequency sampling algorithm to generate a rational macromodel of a power delivery network. To this aim, the cavity model is assumed to represent the structure and accurate models of conductor and dielectric losses are incorporated. The adaptive sampling algorithm allows one to minimize the order of the macromodel and number of frequency samples used to extract the rational macromodel. The numerical results demonstrate the effectiveness of the proposed method. Copyright © 2008 John Wiley & Sons, Ltd.