遗传算法在发电机励磁系统参数辨识中的应用
王兴贵 ，王言徐 ，智 勇
(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)
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
中图分类号：TM761 文献标志码：A 文章编号：1003—8930(201O)0卜0076—04
Application of Genetic Algorithm in Generator Excitation
System Parameters Identification
W ANG Xing—gui ，W ANG Yan—xn ，ZH I Yong
(1．Department of Electrical and Information Engineering，Lanzhou University of
Science and Technology，Lanzhou 730050，China；2．Gansu Electric Power Research Institute，Lanzhou 730050，China)
Abstract：The learning capability and non liner feature of genetic algorithm can be used tO obtain the identifica—tion 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 adj us—ting the mode1 parameters with generic algorithm．The identification results of a simulation system in MAT—LAB and a real excitation system show that the proposed method is ahle tO obtain the accurate parameters of the excitation system．
Key words：genetic algorithm ；excitation system ；parameter identification；simulation
发表于 2010-12-1 20:51:32
