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In large-scale power system, low frequency oscillation is becoming a serious threat to the power system security. Online identification is used to monitor the low frequency oscillations and control the system damping. This paper presents a method to identify the characteristic of low frequency oscillations, and describe the online implementation strategy. The simulation result of real power grid validates...
The authors propose a new principal component analysis subspace tracking algorithm for analysis of low-frequency oscillations. This algorithm has the merits of prony algorithm that it can get oscillation frequency, attenuation, amplitude and phase of the system from the data, which being measured now. At the same time, because the subspace doesn't require eigenvalue decomposition of the sample correlation...
Prony algorithm can be used in online identification of power system low-frequency oscillation, but it is sensitive to the noise of the analysis data which will affect the analysis precision extremely. In this paper, a fuzzy filter and Prony algorithm based hybrid method is presented to identify the modes of low-frequency oscillation. Because the fuzzy filter can cancel the mixed noise rapidly and...
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