基于改进遗传算法的水轮机PID调速器参数优化  

The Optimization Design of Hydraulic Turbine PID Governor Based on IGA

作　　者：孙美凤[1] 张俊红[2] 沈祖诒[3] 

机构地区：[1]华北水利水电学院,郑州450008 [2]浙江省水利河口研究院,杭州310020 [3]河海大学,南京210098

出　　处：《中国农村水利水电》2006年第12期125-127,130,共4页China Rural Water and Hydropower

摘　　要：水轮机调速器的参数整定对水轮发电机组安全、可靠地运行具有重要的作用,并直接影响着电力系统向用户供电的质量及可靠性。针对当前比较流行的PID调节,利用改进遗传算法对其中的参数KP、KI、KD进行优化,并将改进遗传算法与标准遗传算法的计算结果进行比较,得出了改进遗传算法优于标准遗传算法的结论。Water turbine governor is an important automatic control device for hydropower generator unit. The parameter tuning of water turbine governor plays an important role in the safe and normal operation of the hydropower generator unit. It directly affects the quality and reliability of electricity provided by the power system. PID regulators are the most widely used controllers in the water turbine governor. This paper introduces a method of using improved genetic algorithm （IGA） to optimize the KP ,KI ,KD parameters of PID regulators, and draws the conclusion that IGA is superior to the standard genetic algorithm （GA） through comparison the results of the two methods.

关 键 词：遗传算法 水轮机调速器PID调节 SIMULINK 智能控制 仿真 

分 类 号：TK730.41[交通运输工程—轮机工程]