Application of parameters identification theory in generator excitation system modeling

This paper expounds the application of identification theory in generator excitation system parameters testing and illustrates the measurement for the parameters identification of power plant. The parameters satisfying modeling excitation system request can be finally obtained by FFT/LSE and genetic algorithm. Moreover, the result of identification from phase margin and gain margin is analyzed. The identification results of both a simulation system in Matlab and a real excitation system show that the result of identification is able to obtain the accurate parameters of the excitation system.