摘要
提出了一种基于遗传算法(GA)的将电力系统稳定器(PSS)原模型转换为仿真软件下标准模型的参数辨识方法,通过建立PSS原模型和标准模型传递函数结构框图,输入扰动信号,以原模型和标准模型的输出误差最小作为辨识目标,利用GA对标准模型参数进行优化调整,最终得到满足要求的PSS标准模型参数。该方法简便易行,精度高,实际PSS参数辨识结果表明,该方法具有很好的效果。
A new method based on genetic algorithm for identifying parameters of the power system stabilizer is introduced in this paper. This method is used to convert the original model of the power system stabilizer to the standard model of the power system stabilizer. By building transfer function structure of the original model and the standard model ,with the minimal difference between the output of the original model and the standard model as the goal,the parameters of the standard models are adjusted constantly with genetic algorithm. Finally, the most suitable parameters of the standard model of power system stabilizer can be obtained. The actual identification result shows that this method is able to obtain the accurate parameters of the standard model of power system stabilizer.
出处
《江苏电机工程》
2007年第2期13-15,共3页
Jiangsu Electrical Engineering
关键词
电力系统稳定器
参数辨识
遗传算法
原模型
标准模型
power system stabilizer
parameter identification
genetic algorithm
original model
standard model
