Title :
Online Identification of Low-Frequency Oscillation in Power System based on Fuzzy Filter and Prony Algorithm
Author :
Li, Da Hu ; Cao, Yijia ; Wang, Guang
Author_Institution :
Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
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.
Keywords :
fuzzy logic; power grids; power system identification; power system measurement; fuzzy filter; low-frequency oscillation; online identification; power grid; power system; prony algorithm; wide-area measurement system; Active filters; Algorithm design and analysis; Data analysis; Fuzzy logic; Fuzzy systems; Hybrid power systems; Low-frequency noise; Noise cancellation; Power system analysis computing; Power systems; Prony algorithm; fuzzy filter; low-frequency oscillation; wide-area measurement system (WAMS);
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
DOI :
10.1109/ICPST.2006.321622