Application of oscillation monitoring data for the detection of event signatures

Author

Rogers, K.M. ; Overbye, Thomas J.

Author_Institution

Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA

fYear

2011

fDate

19-23 June 2011

Firstpage

1

Lastpage

7

Abstract

Disturbances in power systems cause oscillations which can be observed in measured signals throughout the network. This paper examines the relationship between events in the system and the measured modal content of the oscillations. Identifying patterns or distinguishing characteristics from oscillation monitoring data is examined in the context of linear system theory and control theory. Our results show that with knowledge of the nominal modes of certain generators, it is often possible to distinguish an event at one of these generators.

Keywords

control theory; linear systems; oscillations; power system identification; power system measurement; signal processing; control theory; event signature detection; linear system theory; oscillation monitoring data; pattern identification; power system disturbances; power system signal analysis; Damping; Eigenvalues and eigenfunctions; Generators; Least squares approximation; Oscillators; Power system stability; Signal processing algorithms; Prony; data mining; eigenvalues; oscillations; signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2011 IEEE Trondheim

Conference_Location

Trondheim

Print_ISBN

978-1-4244-8419-5

Electronic_ISBN

978-1-4244-8417-1

Type

conf

DOI

10.1109/PTC.2011.6019409

Filename

6019409