OPTIMAL HYDROGENERATOR GOVERNOR TUNING WITH A GENETIC ALGORITHM

被引：41

作者：

LANSBERRY, JE ^{[1
]}

WOZNIAK, L ^{[1
]}

GOLDBERG, DE ^{[1
]}

机构：

[1] UNIV ILLINOIS,DEPT GEN ENGN,URBANA,IL 61801

来源：

IEEE TRANSACTIONS ON ENERGY CONVERSION | 1992年 / 7卷 / 04期

关键词：

HYDROGENERATORS; GOVERNORS; PI CONTROL; GENETIC ALGORITHMS; OPTIMIZATION; ANALOG COMPUTATION;

D O I：

10.1109/60.182643

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Many techniques exist for developing optimal controllers. This paper investigates genetic algorithms as a means of finding optimal solutions over a parameter space. In particular, the genetic algorithm is applied to optimal tuning of a governor for a hydrogenerator plant. Analog and digital simulation methods are compared for use in conjunction with the genetic algorithm optimization process. It is shown that analog plant simulation provides advantages in speed over digital plant simulation. This speed advantage makes application of the genetic algorithm in an actual plant environment feasible. Furthermore, the genetic algorithm is shown to possess the ability to reject plant noise and other system anomalies in its search for optimizing solutions.

引用

页码：623 / 630

页数：8