Because voltage flicker is a nonstationary waveform, the flickermeter designed by the IEC is inefficient to direct spectral analysis when implementing a flickermeter in the real word. To overcome this difficulty, the voltage flicker measurement of wind turbines algorithm using Kaiser window correction based on FFT and HHT is proposed and established. Sidelobe characteristics of Kaiser window and the principle of Hilbert Huang transform are analyzed in this paper. In order to decrease the spectrum leakage and eliminate the high frequency, the envelope parameters of voltage flicker waveform are extracted by the Hilbert Huang transform based on Kaiser window and FFT. The simulation results show that the occurrence time of flicker is obtained and the influence of voltage flicker evaluation which are caused by the frequency of voltage flicker waveform, multifrequency of voltage flicker waveform, the fundamental grid frequency fluctuations, harmonics, interharmonics and white noise are all restrained by using the proposed methodology. This methodology can obtain precise and steady outcome and occurrence time of flicker. The experimental results show that the proposed strategy is efficient.