OPTIMIZATION OF CIRCULATING WATER PUMPS' COMBINATION IN POWER PLANT BASED ON IMPROVED PARTICLE SWARM ALGORITHM

WANG Qingguo; YAN Wenjun; YAO Wei College of Electrical Engineering

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OPTIMIZATION OF CIRCULATING WATER PUMPS' COMBINATION IN POWER PLANT BASED ON IMPROVED PARTICLE SWARM ALGORITHM

更新时间：2025-09-28

- OPTIMIZATION OF CIRCULATING WATER PUMPS' COMBINATION IN POWER PLANT BASED ON IMPROVED PARTICLE SWARM ALGORITHM
- Thermal Power Generation Vol. 39, Issue 7, Pages: 65-68(2010)
- 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：2010
- 稿件说明：
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WANG Qingguo, YAN Wenjun, YAO Wei College of Electrical Engineering. OPTIMIZATION OF CIRCULATING WATER PUMPS' COMBINATION IN POWER PLANT BASED ON IMPROVED PARTICLE SWARM ALGORITHM[J]. Thermal power generation, 2010, 39(7): 65-68.
DOI：

WANG Qingguo, YAN Wenjun, YAO Wei College of Electrical Engineering. OPTIMIZATION OF CIRCULATING WATER PUMPS' COMBINATION IN POWER PLANT BASED ON IMPROVED PARTICLE SWARM ALGORITHM[J]. Thermal power generation, 2010, 39(7): 65-68. DOI：

摘要

在综合对比用于循环水系统轴功率优化模型的2种不同粒子群优化算法的基础上

提出用服从均匀分布惯性权重的粒子群优化算法求解轴功率优化问题

得到了最优决策向量。该算法能够有效地找到循环水系统中循环水泵的最优组合和最佳调速比

使水泵在高效区内运行

提高系统的运行效率。与遗传算法相比

其实现简单

收敛速度快

并有更好的全局收敛特性和更小的系统误差。

Abstract

On the basis of comprehensive comparison between two different particle swarm optimization(PSO) algorithms applied to optimization model of shaft power for circulating water system

a PSO algorithm with stochastic inetia weight has been put forward for seeking solution of problem to optimize the shaft power

obtaining the optimal decision vector.The said method can effectively seek the optimal combination of circulating water pumps in the circulating water system and the best speed-regulating ratio

making the water pump to work in high effective region

enhancing efficiency in operation of the system.Compared with the genetic algorithm

the PSO algorithm is simple in realization

boasting quick converging speed

as well as more better whole convergence behavior and more smaller systematic error.

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