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遗传算法在汽轮机调速系统参数辨识中的应用
引用本文:高伟,李阳海,王大光,汤延令.遗传算法在汽轮机调速系统参数辨识中的应用[J].华中科技大学学报(自然科学版),2006,34(10):80-82.
作者姓名:高伟  李阳海  王大光  汤延令
作者单位:1. 华中科技大学,能源与动力工程学院,湖北,武汉,430074
2. 福建省电力试验研究院,福建,福州,350007
摘    要:分析了常规参数辨识方法在进行汽轮机调速系统参数辨识时存在的局限性,在对华阳后石电厂6号机组(600MW)汽轮机调速系统模型参数进行辨识时,采用了一种基于遗传算法的参数辨识方法,并利用Matlab及其Simulink工具箱予以实现.这种方法对现场试验条件的要求不高,试验时可以根据机组实际情况选择测点,并且可以较好解决非线性环节参数的辨识问题,比较适合于汽轮机调速系统的参数辨识.结果表明,辨识所得的模型参数能够满足电力系统分析对汽轮机调速系统模型准确度的要求.

关 键 词:汽轮机  调速系统  参数辨识  Simulink工具箱  遗传算法
文章编号:1671-4512(2006)10-0080-03
收稿时间:2005-10-11
修稿时间:2005年10月11

Genetic algorithm applied to parameter identification of the speed governor system for steam turbines
Gao Wei,Li Yanghai,Wang Daguang,Tang Yanling.Genetic algorithm applied to parameter identification of the speed governor system for steam turbines[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2006,34(10):80-82.
Authors:Gao Wei  Li Yanghai  Wang Daguang  Tang Yanling
Abstract:Analyzed were the limitations of parameter identification of the speed governor system model for steam turbines using conventional parameter identification. The parameters of the speed governor system model for No. 6 unit, in Houshi power plant, were identified by genetic algorithm-based parameter identification method and realized by using Matlab and its Simulink toolbox. This method does not have strict requirements to the experiment, so that we can choose signal points based on the practical situation. It can also solve the non-linear parameter identification problem quite well, and is very suitable for the steam turbine speed governor system parameter identification. The result shows that the parameters we got can meet the accuracy demand of the electricity power system analysis.
Keywords:steam turbine  speed governor system  parameter identification  Simulink toolbox  genetic algorithm
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