Title :
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
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;
Conference_Titel :
PowerTech, 2011 IEEE Trondheim
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-8419-5
Electronic_ISBN :
978-1-4244-8417-1
DOI :
10.1109/PTC.2011.6019409
