Application of the Steiglitz-McBride identification algorithm to measured data from a power system simulator

Author

Okamoto, H. ; Sanchez-Gasca, J.J. ; Clark, K. ; Wegner, C.A. ; Miller, N.W. ; Chow, J.H.

Author_Institution

Tokyo Electr. Power Co. Inc., Japan

Volume

5

fYear

1998

fDate

21-26 Jun 1998

Firstpage

2956

Abstract

This paper demonstrates the applicability of the identification method of Steiglitz and McBride (1965) to the identification of low-order linear models using time domain measured data from a power system simulator. It is shown that the identified linear models retain the essential dynamic characteristics of the actual system and are suitable for modal analysis and control design for damping low frequency electromechanical oscillations

Keywords

control system synthesis; damping; digital simulation; identification; oscillations; power system analysis computing; power system control; time-domain analysis; Steiglitz-McBride identification algorithm; control design; dynamic characteristics; low-frequency electromechanical oscillation damping; low-order linear models; modal analysis; power system simulator; time domain measured data; Control design; Damping; Modal analysis; Power measurement; Power system analysis computing; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.688400

Filename

688400