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(600 MW)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Mat-lab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.
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.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第10期80-82,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(50505013)
关键词
汽轮机
调速系统
参数辨识
SIMULINK工具箱
遗传算法
steam turbine
speed governor system
parameter identification
Simulink toolbox
genetic algorithm
