A Wavelet Approach to the Selective Computation of Eigenvalues for Small Signal Stability Analysis

Author

Mcllhagger, D. ; Littler, T.B. ; Irwin, G.W.

Author_Institution

Sch. of Electron., Queens´ Univ. Belfast, Belfast

fYear

2007

Firstpage

1027

Lastpage

1032

Abstract

This paper proposes a method to assess the small signal stability of a power system network by selective determination of the modal eigenvalues. This uses an accelerating polynomial transform, designed using approximate eigenvalues obtained from a wavelet approximation. Application to the IEEE 14 bus network model produced computational savings of 20%, over the QR algorithm.

Keywords

distribution networks; eigenvalues and eigenfunctions; polynomials; power system stability; transmission networks; wavelet transforms; IEEE 14 bus network model; eigenvalues selective computation; polynomial transform; power system network; small signal stability analysis; wavelet approach; Acceleration; Computational modeling; Eigenvalues and eigenfunctions; Polynomials; Power system analysis computing; Power system modeling; Power system stability; Stability analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2007 IEEE Lausanne

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2189-3

Type

conf

DOI

10.1109/PCT.2007.4538456

Filename

4538456

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1715503