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• W2359302013 abstract "Frequency Domain Decomposition(FDD) is introduced to identify low-frequency oscillation modes by analysis of steady-state ambient measurements in power system and some modifications to FDD are made.The relation expression between maximum singular value of PSD matrix and system eigenvalue under poorly damped mode is presented by detailed derivation of the relations among frequency response function(FRF),output power spectral density(PSD),and system eigenvalues.Modal Amplitude Coherence(MAC) is used to determine mode area size in the neighborhood of peak point on maximum SVD curve.Finally,the exact modal frequency and damping ratio can be estimated using least square method.The technique is illustrated on linear time-invariant system,WECC 9-bus system and ambient PMU measurements,to show its effectiveness.The suggested method is suitable for identification of poorly damped oscillatory modes,and is robust to noise,and has important value for real-time application." @default.
• W2359302013 created "2016-06-24" @default.
• W2359302013 creator A5072186094 @default.
• W2359302013 date "2011-01-01" @default.
• W2359302013 modified "2023-09-26" @default.
• W2359302013 title "Identification of low-frequency oscillation modes based on frequency domain decomposition method and wide area ambient measurements" @default.
• W2359302013 hasPublicationYear "2011" @default.
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