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内部重整固体氧化物燃料电池发电系统的非线性预测控制
引用本文:刘欣,郝晓弘,杨新华,安爱民.内部重整固体氧化物燃料电池发电系统的非线性预测控制[J].化工进展,2014,33(4):900-906.
作者姓名:刘欣  郝晓弘  杨新华  安爱民
作者单位:兰州理工大学电气工程与信息工程学院,甘肃 兰州 730050
基金项目:国家自然科学基金(61064003、51165024);甘肃省高等学校基本科研业务基金(1102ZTC143)项目
摘    要:固体氧化物燃料电池(SOFC)发电系统运行除了电堆本体外还需要包含诸多其他辅助组件以期获得系统输出的最大效率,为了使SOFC电堆能够对纯氢以外的燃料具有更好的适用性,加入了燃料内部重整装置和燃烧室两个重要辅助组件。文中在对系统展开建模的基础上提出了采用非线性模型预测控制策略,能够更有效地使输出燃料气体的组分、温度、压力、浓度和流率满足燃料电池堆正常运行的需要,通过仿真分别论证了线性模型预测控制和非线性模型预测控制两种不同控制方案的有效性和适用性。

关 键 词:燃料电池  固体氧化物燃料电池  内部重整装置  线性模型预测控制  非线性模型预测控制  

Nonlinear model predictive control of the direct internal reforming solid oxide fuel cell system
LIU Xin;HAO Xiaohong;YANG Xinhua;AN Aimin.Nonlinear model predictive control of the direct internal reforming solid oxide fuel cell system[J].Chemical Industry and Engineering Progress,2014,33(4):900-906.
Authors:LIU Xin;HAO Xiaohong;YANG Xinhua;AN Aimin
Affiliation:College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,Gansu,China
Abstract:The power operation of the solid oxide fuel cell needs stack cell as well as many other auxiliary components in order to obtain the maximum efficiency of system output. To make the SOFC stack have better applicability for the fuels other than the pure hydrogen,two important auxiliary components are added - the fuel direct internal reforming device and combustion chamber. The nonlinear model predictive control strategy is based on system modeling. This can make the output of gas composition,temperature,pressure,concentration and flow rate more effective and satisfy the needs of the normal operation of fuel cell stack. It discusses the effectiveness and applicability of two kinds of different control scheme of the LMPC and NMPC,respectively.
Keywords:fuel cell  solid oxide fuel cell  internal reformer  linear model predictive control  non-linear model predictive control  
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