一种基于遗传算法优化模拟原动系统PI参数的新方法  

A novel method to seek quickly the superior PI parameters in prime mover simulation system

作　　者：谭立新[1] 刘觉民[1] 陈明照[1] 刘彦哲[1] 宋小明[1] 

机构地区：[1]湖南大学电气工程学院

出　　处：《电工电能新技术》2008年第4期14-17,共4页Advanced Technology of Electrical Engineering and Energy

基　　金：湖南省自然科学基金资助项目(01JJY2106);湖南省科技攻关项目(05GK3507);湖南省教育厅资助科研项目(07D067)

摘　　要：应用遗传算法优化模拟原动系统PI调节器参数的新方法,分别通过MATLAB仿真和现场实验,比较遗传算法和传统方法条件下PI调节器阶跃响应特性,检验模拟原动系统的动态特性。仿真与现场实验表明,遗传算法具有快速优化系统参数的特点、以此确定PI参数的模拟原动系统动态特性仿真满足电力系统动态模拟实验的要求。This paper proposes a method to use the genetic algorithms to optimize the PI regulator parameter in the prime mover simulation system. In this paper, we compared the step response characteristics under the conditions of the genetic algorithms and traditional method by MATLAB simulation and by field test, and tested the dynamic characteristics of the prime mover simulation system. The results proved that method the prime mover simulation system can meet the genetic algorithms can optimize PI parameters quickly. With this requirements of dynamic performance simulation.

关 键 词：原动系统 PI调节 遗传算法 MATLAB仿真 动态特性 

分 类 号：TM31[电气工程—电机] TP15[自动化与计算机技术—控制理论与控制工程]