基于粒子群算法的循环水系统运行研究

W. Tan, Xiangping Meng, Hui Wang, Liang Zhao
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引用次数: 1

摘要

大型重工业循环冷却水系统存在大量调速泵能耗高、效率低的问题。围绕这一问题分析了变频水泵的特点。以能量消耗最低为优化目标,基于粒子群算法和频率调速技术建立数学模型,简化不等式约束条件;利用粒子群算法避免了遗传算法过早收敛的困难,提高了算法的全局搜索能力。仿真结果表明,该算法是解决水循环系统中多泵调速变频优化问题的有效算法。
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The operating study of circulating water system based on Particle Swarm Optimization
Circulating cooling water system of large heavy industry had the problem that many pumps of regulating speed operate in higher energy consumption and lower efficiency. The paper analyzed the characteristic of variable speed water pump around the problem. The mathematics model was established with the optimization goal of the lowest energy consumption, which was on the basis of Particle Swarm Optimization and frequency speed control technology, and it simplified inequality constraint condition. It avoided the difficulty of the premature convergence of genetic algorithm through using PSO and improves the global search ability of the algorithm. Simulation results show that it is an effective algorithm to solving optimal problem of many pumps of speed-frequency control in water circulating system.
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