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水轮机调速器参数自整定遗传算法的研究
引用本文:孙美凤,张永华,张俊红.水轮机调速器参数自整定遗传算法的研究[J].水力发电,2007,33(5):44-46,77.
作者姓名:孙美凤  张永华  张俊红
作者单位:1. 华北水利水电学院,河南,郑州,450011
2. 浙江省水利河口研究院,浙江,杭州,310020
基金项目:河南省教育厅自然科学基金
摘    要:水轮机调速器的参数整定直接关系到水轮机调节系统的稳定运行及调节品质,进而会影响到电能的质量.应用可变交叉概率和变异概率的改进遗传算法对水轮机PID调速器参数进行优化,并将改进遗传算法的计算结果进行仿真分析,结果表明,该方法有效地消除了对参数初值的依赖性,使得寻优效率大大提高,改善了收敛性,是一种较好的PID参数寻优方法。

关 键 词:改进遗传算法  参数优化  调速器  水轮机
文章编号:0559-9342(2007)05-0044-03
修稿时间:2007-02-05

The Research of PID Parameter Adjusting in Hydraulic Turbine Governor by IGA
Sun Meifeng,Zhang Yonghua,Zhang Junhong.The Research of PID Parameter Adjusting in Hydraulic Turbine Governor by IGA[J].Water Power,2007,33(5):44-46,77.
Authors:Sun Meifeng  Zhang Yonghua  Zhang Junhong
Abstract:To adjust the parameter of hydraulic turbine governor is an important thing which can keep the hydroelectric generator system run in the safe and the quality and reliability of electricity provided.PID controllers are the most widely used controllers in the water turbine governor.This thesis introduces a method of using Improved Genetic Algorithm(IGA) to optimize the PID parameters.It can eliminate the parameter result depend on initial value,its arithmetic in astringency and efficiency maybe is a better way.
Keywords:Improved Genetic Algorithm(IGA)  parameter optimize  governor  hydraulic turbine
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