质子交换膜燃料电池系统多目标优化  

Multi-objective optimization for PEM fuel cell system

作　　者：张帅 钱欣瑞 史彬 鄢烈祥 ZHANG Shuai, QIAN Xinrui, SHI Bin and YAN Liexiang(School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Hubei Wuhan 43007)

机构地区：[1]武汉理工大学化学化工与生命科学学院

出　　处：《计算机与应用化学》2018年第1期37-44,共8页Computers and Applied Chemistry

基　　金：国家自然科学基金资助项目(21376185)

摘　　要：质子交换膜燃料电池（PEMFC）具有操作温度低、能量密度高、稳定性好等优点,是一种具有广泛应用前景的发电装置。本文以PEMFC系统发电效率最大和总成本最小为同步优化目标,以电流密度、系统操作压力、空气及氢气化学计量数为操作变量,建立该系统的多目标优化模型。提出基于拥挤度排序的多目标列队竞争算法（MOLCA-CDS）求解该模型,得到优化目标的Pareto最优前沿。实例计算结果表明,所提出的方法可得到分布均匀的Pareto最优解集,且优化结果能够完全支配文献中采用其它方法的优化解。本文所提出的方法可为PEMFC系统的设计与操作优化提供参考。PEM fuel cell is considered as one of the most promising power generation devices because of its low operation temperature, high power density and superior reliability. This paper presents an multi-objective optimization model for PEMFC system which took system efficiency and cost as simultaneously optimization objectives, and introduced current density, system operation pressure, stoichiometric ratios of hydrogen and oxygen as the manipulate variables. Multi-objective line-up competition algorithm based on Crowded Degree Sorting （MOLCA-CDS） is proposed to obtain the Pareto front of the optimization problem Case study results show that the proposed method can obtain a uniformly distributed Pareto curve, and the optimization results obtained by our method can dominate the solution reported in the literature. The proposed method can provide a useful reference for the design and operation optimization of PEMFC system.

关 键 词：质子交换膜燃料电池 多目标优化 拥挤度排序 多目标列队竞争算法 

分 类 号：TM911.4[电气工程—电力电子与电力传动]