Computation of power system low-order models from time domain simulations using a Hankel matrix

Author

Sanchez-Gasca, J.J. ; Chow, J.H.

Author_Institution

Power Syst. Eng. Dept., GE Electr. Distribution & Control, Schenectady, NY, USA

Volume

12

Issue

4

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

1461

Lastpage

1467

Abstract

This paper describes an algorithm to calculate low-order linear models of power systems from small-signal time-domain simulation data. The linear system models preserve the modal characteristics of the underlying power system. The method is based on the computation of a real symmetric matrix and is well suited for the analysis of large data sets. The results presented in the paper include the computation of a transfer function suitable for power system stabilizer design and the synthesis of an equivalent linear system from a three-phase power system model

Keywords

Hankel matrices; power system analysis computing; time-domain analysis; transfer functions; Hankel matrix; computation algorithm; computer simulation; equivalent linear system synthesis; linear system models; modal characteristics; power system low-order models; power system stabilizer design; small-signal time-domain simulation data; three-phase power system model; transfer function; Computational modeling; Power engineering and energy; Power system analysis computing; Power system measurements; Power system modeling; Power system simulation; Power system stability; Power systems; Symmetric matrices; Transfer functions;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.627842

Filename

627842