Impact of close oscillation modes on the typical algorithms for the low frequency oscillation parameter identification of power systems

There are close oscillation modes exist in large-scale power systems. However, whether the low frequency oscillation (LFO) identification algorithms can distinguish the close frequencies or not is a problem needs to be solved urgently. This paper studies the frequency distinguish ability of Prony, Esprit and Matrix Pencil (MP) three typical identification algorithms based on measurements. Firstly, this paper proposes a criterion that can determine whether the algorithms can distinguish two close frequencies or not. And then, under no noise circumstance, simulates the analog signals and 2-Area system, obtains the frequency resolution of each algorithm. Furthermore, under noise circumstance, acquires the frequency resolution of each algorithm based on identifying analog signals and field measured data.