A hybrid method for the estimation of power system low-frequency oscillation parameters

Summary form only given. A hybrid method which combines four different algorithms for low-frequency oscillation parameter estimation using wide-area measurements is presented in this paper. The first algorithm is the discrete Fourier transform (DFT) which is used to start the low-frequency oscillation estimation process. The second one is the finite-impulse response (FIR) window filter which is employed in filtering unwanted components, and window correction factor (WCF) is provided to eliminate the side effect of FIR window filter. The third one is the prototype algorithm which is proposed to estimate low-frequency oscillation parameters, and the last one is the least square error (LSE) method which is employed to enhance the computational accuracy by varying the window size. This hybrid method has been implemented in wide-area phasor measurements system (WAMS) by Java language and is under test in Taiwan's power system. Matlab/Simulink simulation and field test results are provided in the present paper.