遗传算法在发电机励磁系统参数辨识中的应用  

Application of Genetic Algorithm in Generator Excitation System Parameters Identification

作　　者：王兴贵[1] 王言徐[1] 智勇[2] 

机构地区：[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

出　　处：《电力系统及其自动化学报》2010年第1期76-79,共4页Proceedings of the CSU-EPSA

基　　金：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。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 accurate parameters of the excitation system.

关 键 词：遗传算法 励磁系统 参数辨识 仿真 

分 类 号：TM761[电气工程—电力系统及自动化]