DocumentCode :
3216273
Title :
Dynamic characteristic analysis of power system low frequency oscillation using Hilbert-Huang transform
Author :
Han, Song ; Sun, Bin ; Wu, Cheng ; He, Li-quan
Author_Institution :
Dept. of Electr. Eng., Zhejiang Univ., Yuquan
fYear :
2009
fDate :
15-18 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
Based on Hilbert-Huang transform (HHT), the authors propose a practical method to extract time-varying oscillation characteristic of power system from the data measured by wide area measurement system (WAMs). The proposed method can analyze local dynamic behavior and characteristics of non-stationary nonlinear signals, better reflect the time-varying law of multi modes involved in oscillation process as well as the mutual influences among these modes, and improve the identification ability and processing effect. Preliminary experimental results of Guizhou Power Grid in China validate the effectiveness of the proposed method.
Keywords :
Hilbert transforms; power system measurement; Guizhou Power Grid; Hilbert-Huang transform; dynamic characteristic analysis; non-stationary nonlinear signals; power system low frequency oscillation; time-varying oscillation characteristic; wide area measurement system; Area measurement; Data mining; Frequency; Power measurement; Power system analysis computing; Power system dynamics; Power system measurements; Signal analysis; Time varying systems; Wide area measurements; inter-area oscillations; modal analysis; nonlinear systems; power system dynamic stability; wide-area measurement system (WAMs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
Type :
conf
DOI :
10.1109/PSCE.2009.4840077
Filename :
4840077
Link To Document :
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