An efficient phasor and frequency estimation algorithm for wide frequency range

Abstract Synchrophasor estimation accuracy can be improved by expanding the dynamic phasor in a Taylor series near the real value of the fundamental frequency. However, this approach requires solving a weighted least square (WLS) problem in each reporting frame. In this paper, a method with reduced complexity is proposed to improve the phasor and frequency estimation under off-nominal conditions such as frequency deviation and power oscillation. It has been shown that, for adequately chosen window function, the estimation accuracy can be noticeably improved simply by shifting the nominal WLS frequency response towards the estimated frequency. In this way, the computational complexity is significantly reduced. Simulation results show that the proposed algorithm outperforms the considered algorithms in a variety of scenarios.