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遗传算法在发电机励磁系统参数辨识中的应用
引用本文:王兴贵,王言徐,智勇.遗传算法在发电机励磁系统参数辨识中的应用[J].电力系统及其自动化学报,2010,22(1).
作者姓名:王兴贵  王言徐  智勇
作者单位:1. 兰州理工大学电信学院,兰州,730050
2. 甘肃电力科学研究院,兰州,730050
基金项目:甘肃省自然科学基金项目(3ZS042-B25-001)
摘    要:利用遗传算法所具有的自学习能力和非线性特性,解决励磁系统中非线性环节的辨识问题。通过建立待辨识励磁系统的模型,以励磁系统的实际输入作为模型的输入,利用遗传算法对模型参数进行优化,最终得到满足励磁系统建模要求的参数。用MATALAB下的仿真结果和现场试验结果进行对比,表明该算法能够较准确地辨识出励磁系统各个环节的参数。

关 键 词:遗传算法  励磁系统  参数辨识  仿真  

Application of Genetic Algorithm in Generator Excitation System Parameters Identification
WANG Xing-gui,WANG Yan-xu,ZHI Yong.Application of Genetic Algorithm in Generator Excitation System Parameters Identification[J].Proceedings of the CSU-EPSA,2010,22(1).
Authors:WANG Xing-gui  WANG Yan-xu  ZHI Yong
Affiliation:1.Department of Electrical and Information Engineering;Lanzhou University ofScience and Technology;Lanzhou 730050;China;2.Gansu Electric Power Research Institute;China
Abstract:The learning capability and non-liner feature of genetic algorithm can be used to obtain the identification of non-liners in excitation system.By building model with excitation system and using the real input data as the input of model,the parameters satisfying modeling excitation system request can be obtained by adjusting the model parameters with generic algorithm.The identification results of a simulation system in MATLAB and a real excitation system show that the proposed method is able to obtain the a...
Keywords:genetic algorithm  excitation system  parameter identification  simulation  
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