Variable Projection Method for Power System Modal Identification

Author

Borden, Alexander R. ; Lesieutre, Bernard C.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Wisconsin, Madison, WI, USA

Volume

29

Issue

6

fYear

2014

fDate

Nov. 2014

Firstpage

2613

Lastpage

2620

Abstract

Common power system disturbances are characterized by oscillations that either damp out, sustain or grow. This oscillatory response can be measured and analyzed to extract modal information of the system. In this paper we apply a nonlinear least-squares optimization method known as the variable projection method to power system models and data. The variable projection method is compared against several linear methods such as Prony analysis, Matrix-Pencil and ERA, and the results suggest the nonlinear least-squares approach is superior.

Keywords

least squares approximations; nonlinear programming; power system faults; power system identification; power system interconnection; power system reliability; power system simulation; information extract; nonlinear least squares optimization method; oscillatory response; power system disturbances; power system interconnection; power system model identification; variable projection method; Damping; Eigenvalues and eigenfunctions; Modal analysis; Optimization methods; Power system modeling; Power system stability; ERA; Prony analysis; matrix pencil; modal analysis; power systems; variable projection;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2014.2309635

Filename

6776468