基于免疫算法的火电厂循环水系统优化  

OPTIMIZATION OF CIRCULATING WATER SYSTEM IN THERMAL POWER PLANTS BASED ON IMMUNE ALGORITHM

作　　者：王庆国[1] 颜文俊[1] 姚维[1] 

机构地区：[1]浙江大学电气工程学院,浙江杭州310027

出　　处：《热力发电》2009年第6期41-45,共5页Thermal Power Generation

基　　金：国家863项目资助(2007AA05Z232);浙江省科技计划资助(2007C21180)

摘　　要：在综合对比应用于循环水系统优化模型算法的基础上,提出用免疫算法求解,得到了最优决策向量。与遗传算法相比,免疫算法能够有效地寻求火电厂循环水系统的最优组合和最佳调速比,其求解代数更少且质量更高,可有效地提高循环水系统的运行效率。Based on comparison of optimization algorithm model applied to circulating water system in thermal power plants,an optimization algorithm has been put forward on immune model,obtaining the optimal decision vector. Compared with the genetic algorithm, it can effectively find out the optimal combination and speed - regulating ratio in the circulating water system, the algebric equations need to seek solutions would be more smaller in quantity, but more higher in quality, it can effectively enhance the operation efficiency of circulating water system.

关 键 词：火电厂 循环水系统 循环水泵 遗传算法 免疫算法 最佳调速比 

分 类 号：TM311[电气工程—电机]