A comparative assessment of two techniques for modal identification from power system measurements

被引：46

作者：

Browne, Timothy James ^{[1
]}

Vittal, Vijay ^{[1
]}

Heydt, Gerald Thomas ^{[1
]}

Messina, Arturo Roman ^{[2
]}

机构：

[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA

[2] Ctr Res & Adv Studies Cinvestav, Dept Elect Engn, Guadalajara, Jalisco, Mexico

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2008年 / 23卷 / 03期

关键词：

dynamics; empirical mode decomposition (EMD); Hilbert transforms; Hilbert-Huang method; interarea oscillations; power system dynamic stability; power system measurements; power systems; prony analysis;

D O I：

10.1109/TPWRS.2008.926720

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：

Power system oscillatory behavior can be analyzed in terms of modes, expressed as exponentially modulated sinusoids, exhibited in signals measured on the system. These signals are driven by the behavior of a large, nonlinear, time-variant system. In this paper, two modal identification methods are examined comparatively: Prony analysis and a method based on the Hilbert transform. Considerable structural differences exist between the two methods. Prony analysis yields modes which are directly expressed as exponentially modulated sinusoids, whereas the Hilbert method provides a more general solution. Synthetic and measured signals are used in the comparison. Some general conclusions are drawn from the analysis of several signals, including two sets of measured field data.

引用

页码：1408 / 1415

页数：8

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