DocumentCode :
2015371
Title :
Online electromechanical modes identification using PMU data
Author :
Rios, Mario A. ; Ordonez, C.A.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes the identification of electromechanical modes based on signals obtained from Phasor Measurement Unit using a moving time window and a growing window during the post-disturbance state, considering both Prony´s method and the Hankel´s total least square method. Results show that the two methods can be used for online identification of oscillation modes; however, the moving window must not be shorter than the period of the lowest frequency determined by offline Eigenvalues analysis.
Keywords :
eigenvalues and eigenfunctions; least squares approximations; phasor measurement; Hankel total least square method; PMU data; Prony method; offline Eigenvalues analysis; online electromechanical mode identification; oscillation mode online identification; phasor measurement unit; post-disturbance state; Damping; Monitoring; Oscillators; Phasor measurement units; Power measurement; Power system dynamics; Power system stability; Online monitoring; PMU; Power System Stability; System Identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652088
Filename :
6652088
Link To Document :
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