Oscillation mode analysis for power grids using adaptive local iterative filter decomposition

This study proposes an algorithm based on adaptive local iterative filtering decomposition (ALIFD), which is applicable for the feature extraction of a power oscillating signal in a power system. The ALIFD algorithm uses the Fokker-Planck equation to construct the filter function as well as filter sifting to obtain the intrinsic mode function (IMF) with stable features. This algorithm has a solid mathematical foundation and can effectively avoid the mode-mixing problems in the empirical mode decomposition (EMD) algorithm. In this study, the ALIFD algorithm is initially used to obtain the oscillation component. Subsequently, Hilbert Transformation (HT) of each component is performed, and oscillation characteristic parameters are extracted. Analysis results of the test signal, the simulation signal, and the measured data verify the effectiveness of the proposed algorithm. Meanwhile, the comparative results of the EMD algorithm prove that the proposed method is highly adaptive to extracting the characteristics of power oscillation in a power system.