Abstract
Some problems may caused by controller poor optimal control performance because of PSS parameters are hard for debugging, this paper proposes EEMD (Ensemble Empirical Mode Decomposition) and Prony algorithm combined online identification method for power system low-frequency oscillation. Firstly the EEMD is used to deal with the unstable signal and select the IMF (Intrinsic Mode Function). Secondly the model parameters of low-frequency oscillation in power systems are obtained by analyzing the IMF with Prony algorithm. Finally the PSS parameters have calculated through the residue method base on oscillation system dominant mode. Simulative results of case study show that it is better to identify the dominant mode of the signal. The proposed method has a certain reference value for engineering application.
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