A comparison of several system identification methods with application to power systems

Author

Bujanowski, B.J. ; Pierre, J.W. ; Hietpas, S.M. ; Sharpe, T.L. ; Pierre, D.A.

Author_Institution

Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

64

Abstract

This paper presents a survey of recent advances in system transfer function identification with applications to power systems. Three different identification algorithms were analyzed; the Prony method, a direct ARMA method, and a State Space method. Although all of these methods use input and output data, there are features that make the methods distinctly different and difficult to compare directly; the merits of each are discussed. Simulation examples are given comparing the performance of the methods

Keywords

autoregressive moving average processes; damping; identification; power system control; state-space methods; transfer functions; Prony method; damping; direct ARMA method; power system control; power systems; state space method; system identification methods; transfer function identification; Damping; Eigenvalues and eigenfunctions; Least squares methods; Power system analysis computing; Power system modeling; Power system simulation; Power systems; State-space methods; System identification; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343063

Filename

343063