Title :
Online coherency identification based on correlation characteristics of generator rotor angles
Author :
Aghamohammadi, M.R. ; Tabandeh, S.M.
Author_Institution :
Iran Dynamic Res. Center, Power & Water Univ. of Technol., Tehran, Iran
Abstract :
In this paper, a new approach for recognizing coherent groups of generators based on the correlation characteristics of generator rotor angle oscillation is proposed. In this approach, by online measuring generators rotor angle oscillations, the correlation coefficients between all pairs of generators are evaluated. Based on the evaluated correlation coefficients, coherent groups of generators are identified. Comparing the result with time domain transient stability simulation following a disturbance and also modal analysis, leads to similar coherent groups. The proposed approach is demonstrated on the IEEE 39-bus system with promising results.
Keywords :
power generation faults; power system transient stability; rotors; time-domain analysis; IEEE 39-bus system; coherent groups; correlation coefficients; disturbance analysis; generator rotor angle oscillation; modal analysis; online coherency identification; time domain transient stability; Correlation; Correlation coefficient; Generators; Oscillators; Power system dynamics; Power system stability; Rotors; correlation coefficient; generator coherency; modal analysis; rotor angle oscillation; transient stability;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450264