Application of parameters identification theory in generator excitation system modeling

被引：0
|
作者：
Wang, Xing-Gui [1 ]
Wang, Yan-Xu [1 ]
Zhi, Yong [2 ]
机构：
[1] Lanzhou University of Technology, Lanzhou 730050, China
[2] Gansu Electric Power Research Institute, Lanzhou 730050, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2010年 / 38卷 / 07期
关键词：
Frequency domain analysis - Parameter estimation - Electric generators - MATLAB;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：52 / 55
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