DocumentCode :
862855
Title :
Computer code for rational approximation of frequency dependent admittance matrices
Author :
Gustavsen, Bjørn
Author_Institution :
SINTEF Energy Res., Trondheim, Norway
Volume :
17
Issue :
4
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
1093
Lastpage :
1098
Abstract :
This paper deals with the problem of approximating with rational functions a matrix whose frequency dependent elements have been obtained from calculations or from measurements. Based on a previously developed technique (vector fitting), a set of callable routines have been written in the Matlab language. These routines allow for rational approximation with a common set of stable poles, automatic selection of initial poles, passivity enforcement, and creation of an equivalent electrical network that can be imported into an ATP version of EMTP. Usage of sparse arithmetic permits the computer code to handle large systems. The methodology is demonstrated by application to a frequency dependent network equivalent of a radial distribution network (phase domain), for which the accuracy is validated in both the frequency domain and the time domain.
Keywords :
EMTP; electric admittance; matrix algebra; power system analysis computing; time-domain analysis; ATP; EMTP; Matlab language; callable routines; computer code; electromagnetic transients; equivalent electrical network creation; frequency dependent admittance matrices; initial poles automatic selection; network synthesis; passivity enforcement; phase domain; radial distribution network; rational approximation; sparse arithmetic; stable poles; time domain; vector fitting; Admittance; Application software; Computational modeling; EMTP; Frequency dependence; Frequency domain analysis; Frequency measurement; Least squares approximation; Mathematical model; Transmission line matrix methods;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2002.803829
Filename :
1046889
Link To Document :
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