Online Identification of Low-Frequency Oscillation in Power System based on Fuzzy Filter and Prony Algorithm

Abstract

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 easily by fuzzy logic, the dominant mode of the low-frequency oscillation can be obtained relatively easily by Prony algorithm this time. Simulation results on active power oscillation of branch 302245 in Center China Power Grid (CCPG) and comparison results of different methods demonstrate the proposed method can provide more precise analysis results and prove its validity.