Parameter Identification of Excitation System Based on Field Data and PSO

Abstract

Excitation system plays a key role in realistic simulation and analysis of the dynamic performance of electrical power systems to a large extent. Therefore, it is desire to obtain the real parameter of the excitation system in order to study the dynamic performance of power systems. This paper presents a practical technique to address the excitation system identification. The measurement was performed to obtain step response signals to be able to identify the parameters of the model. Instead of the excitation system model provided by the manufacture, a corresponding standard model defined in the commercial software, BPA, is adopted in this work. In order to obtain good performance of optimization, particle swarm optimization (PSO) is used. The identification results show that the response is nearly the same behavior as the filed data.