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遗传算法优化氢气网络的应用
引用本文:陈广飞,霍兆义,尹洪超,邱若磐. 遗传算法优化氢气网络的应用[J]. 节能, 2011, 30(4): 32-35. DOI: 10.3969/j.issn.1004-7948.2011.04.008
作者姓名:陈广飞  霍兆义  尹洪超  邱若磐
作者单位:1. 大连理工大学能源与动力工程学院,辽宁,大连,116023
2. 山东齐鲁石化工程有限公司,山东,淄博,255400
摘    要:采用遗传算法,对炼油厂氢气网络进行优化。运用超结构建立氢气网络模型,以最小年度总费用为优化目标,考虑PSA氢气提纯装置的运行费用,以及氢气网络系统中产生的燃料气价值。该算法不易陷入局部最优解,能迅速得到氢气网络的结构与参数,具有获得全局最优解的能力。实例计算验证了方法的有效性。

关 键 词:氢气网络系统优化  遗传算法  氢源  氢阱  超结构

The Application of the Genetic Algorithmin Optimizing of Hydrogen Network
CHEN Guang-fei,HUO Zhao-yi,YIN Hong-chao,et al. The Application of the Genetic Algorithmin Optimizing of Hydrogen Network[J]. Energy Conservation, 2011, 30(4): 32-35. DOI: 10.3969/j.issn.1004-7948.2011.04.008
Authors:CHEN Guang-fei  HUO Zhao-yi  YIN Hong-chao  et al
Affiliation:CHEN Guang-fei,HUO Zhao-yi,YIN Hong-chao,et al(School of Energy and Power Engineering,Dalian University of Technology,DaLian 116023,China)
Abstract:Hydrogen networks in refinery are optimized by using the genetic algorithm.The model of hydrogen network is built by using superstructure,the optimization goal is the minimal annual costs,and operating cost of pressure swing adsorption and the value of fuel gas produced by hydrogen network system are taken into consideration.The algorithm could avoid the local optimal solution,which could quickly get hydrogen network structure and parameters,and be able to obtain the global optimal solution.The method is us...
Keywords:system optimization of hydrogen network  genetic algorithm  sources of hydrogen  sinks of hydrogen  superstructure  
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