Identification of Power System Low Frequency Oscillation Mode Based on Improved Prony Algorithm

A new improved Prony algorithm is presented in which the oscillation amplitude to be solved is served as weight and the trained by neural network to implement the identification of power system low frequency oscillation mode.The proposed algorithm avoids the defects while Prony algorithm is applied in actual calculation,such as ill-conditioned expression of matrix and low accuracy of amplitude and phase calculated by matrix;and overcomes the shortcoming in weak anti-interference ability of traditional Prony algorithm.Simulation results show that the improved Prony algorithm can eliminate interference effectively and identify dominant mode reliably and accurately,besides its calculation burden is light,so the proposed algorithm is suitable to identify the oscillation signals containing noises under multi sampling number.