Low-frequency oscillation parameter identification based on the random response theory

摘要

The mode information of the low frequency oscillation (LFO) is of vital importance for the security and stability of the power system. In this paper, we propose a method to identify low frequency oscillation parameter using the correlation function of ambient data based on the random response theory of power system. We studied the general procedure of this method. By comparing with the widely used ARMA method, we find that ARMA method is equivalent to using Prony method to deal with the correlation function of the ambient data, which means that the ARMA method is a special case of the random response theory. A practical model order selection method for Prony analysis is also given. The analysis result of data from a simulation system and an actual system demonstrate the effectiveness of the proposed method.