To solve the problems of noise interference in low-frequency oscillation pattern recognition and parameter extraction of power system, a low-frequency oscillation modal identification method based on the combination of Hilbert Transformation (HT) and energy function of empirical mode decomposition (EFEMD) is proposed. Firstly, EMD is used to decompose the low-frequency oscillation -area measurement signal in power system with noise to obtain each intrinsic mode function (IMF). Then EFEMD-HT energy method is used to calculate the energy of each intrinsic mode function and weight it, and the dominant oscillation mode of the system is screened out. Finally, Hilbert transform is used to extract the parameters of the dominant oscillation mode. The feasibility and effectiveness of the proposed EFEMD-HT energy method are verified by the simulation of ideal signal, EPRI-36 system simulation signal and the measured PMU signal of the power grid, and the dominant oscillation mode of the system can be accurately identified.