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

WANG Qing-guo; YAN Wen-jun; YAO Wei College of Electrical Engineering

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

更新时间：2025-09-28

- OPTIMIZATION OF CIRCULATING WATER SYSTEM IN THERMAL POWER PLANTS BASED ON IMMUNE ALGORITHM
- Thermal Power Generation Vol. 38, Issue 6, Pages: 41-45(2009)
- 作者机构：
  
  浙江大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published：2009
- 稿件说明：
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WANG Qing-guo, YAN Wen-jun, YAO Wei College of Electrical Engineering. OPTIMIZATION OF CIRCULATING WATER SYSTEM IN THERMAL POWER PLANTS BASED ON IMMUNE ALGORITHM[J]. Thermal power generation, 2009, 38(6): 41-45.
DOI：

WANG Qing-guo, YAN Wen-jun, YAO Wei College of Electrical Engineering. OPTIMIZATION OF CIRCULATING WATER SYSTEM IN THERMAL POWER PLANTS BASED ON IMMUNE ALGORITHM[J]. Thermal power generation, 2009, 38(6): 41-45. DOI：

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。

Abstract

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.

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