Online electromechanical modes identification using PMU data

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 sh...

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Published in2013 IEEE Grenoble PowerTech pp. 1 - 5
Main Authors Rios, Mario A., Ordonez, Camilo A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Damping
Monitoring
Online monitoring
Oscillators
Phasor measurement units
PMU
Power measurement
Power system dynamics
Power system stability
System Identification
Online AccessGet full text
DOI10.1109/PTC.2013.6652088

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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.
AbstractList 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.
Author Ordonez, Camilo A.
Rios, Mario A.
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  givenname: Camilo A.
  surname: Ordonez
  fullname: Ordonez, Camilo A.
  organization: Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
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Snippet This paper proposes the identification of electromechanical modes based on signals obtained from Phasor Measurement Unit using a moving time window and a...
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StartPage 1
SubjectTerms Damping
Monitoring
Online monitoring
Oscillators
Phasor measurement units
PMU
Power measurement
Power system dynamics
Power system stability
System Identification
Title Online electromechanical modes identification using PMU data
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