A SPECTRAL ALGORITHM FOR EXTRACTING POWER-SYSTEM MODES FROM TIME RECORDINGS

被引：17

作者：

BOUNOU, M

LEFEBVRE, S

MALHAME, RP

TRUDNOWSKI, DJ

机构：

[1] PACIFIC NW LAB, RICHLAND, WA 99352 USA

[2] INST RECH HYDRO QUEBEC, VARENNES, QUEBEC, CANADA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1992年 / 7卷 / 02期

关键词：

digital signal processing; Fast Fourier transform; Steady state stability; Z-transform;

D O I：

10.1109/59.141772

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new technique for extracting power system modes contained in a recorded time signal. The technique is based on spectral analysis and uses the Z-transform identification algorithm of Corinthios. It permits identification of the damping factor and the frequency of the modal signal components and it is computationally attractive due to efficient Fast Fourier Transform (FFT) algorithms. Signals containing multiple modes, which may be relatively close or unstable, can be handled by the technique. The paper outlines the theory behind the spectral algorithm, and it presents several examples. Advantages and weaknesses of the technique are discussed.

引用

页码：665 / 672

页数：8