DocumentCode
294876
Title
Power system disturbance monitoring using spectral analysis techniques
Author
Shea, Peter O. ; Palmer, Edward ; Fraz, Gordon
Author_Institution
Dept. of Commun. & Electr. Eng., R. Melbourne Inst. of Technol., Vic., Australia
Volume
4
fYear
1995
fDate
9-12 May 1995
Firstpage
2731
Abstract
This paper considers the problem of measuring and analysing the frequency and phase angle variations which occur in a power system after a fault or disturbance. This is an important problem because the results of the analysis are used in implementing control strategies to avert generator cutout. Commonly, the frequency is not measured directly, but is inferred from the instantaneous power at the substation. Since there is a complicated non-linear relationship between the power and the frequency, some bias is incurred in the measurement. This paper proposes instead that the angle and or frequency be obtained directly via an analytic signal readily constructed from the 3-phase output of the power system. The paper also proposes enhancements for some of the currently employed signal analysis techniques, and a new technique based on an extension of Thompson´s (1982) harmonic line test
Keywords
frequency measurement; phase measurement; power system control; power system harmonics; power system measurement; spectral analysis; substations; 3-phase output; Thompson´s harmonic line test; analytic signal; control strategies; frequency variations measurement; generator cutout; instantaneous power; measurement bias; phase angle variations measurement; power system disturbance monitoring; signal analysis techniques; spectral analysis; substation; Frequency measurement; Monitoring; Phase measurement; Power measurement; Power system analysis computing; Power system faults; Power system harmonics; Power system measurements; Signal analysis; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.480126
Filename
480126
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