为延长固体氧化物燃料电池（SOFC）的寿命、提高系统性能,以5 kW平板式SOFC系统为研究对象,在满足功率需求和温度约束的条件下,探究其通过寻优最佳的操作参数组合以实现最高的系统效率。首先采用模块化建模方法,基于工作机理建立SOFC独立发电系统的模型。其次,基于所建立的系统模型,通过定义4个操作参数,并结合系统的热电约束,形成SOFC系统效率优化问题。针对该优化问题,提出一种结合元启发式优化算法的两级优化方案,即将操作参数按照对SOFC系统的影响分为两级,对第一级操作参数进行离散取值,对第二级操作参数采用麻雀搜索算法进行优化。结果表明,所提优化方案可获得全局最优操作点,使SOFC系统满足功率需求和温度约束条件且系统效率达到最优。
Abstract
In order to prolong the life of solid oxide fuel cell （SOFC） and improve the system performance, this paper takes the 5 kW planar SOFC system as the research object, under the condition of meeting the power requirements and temperature constraints, explores the optimal combination of operating parameters to achieve the highest system efficiency. In this paper, the modular modeling method is used to build the simulation model of SOFC independent power generation system based on the working mechanism. Secondly, based on the established system model, the SOFC system efficiency optimization problem is formed by defining four operating parameters and combining the thermoelectric constraints of the system. To solve this problem, a two-level optimization scheme combined with meta-heuristic optimization algorithm is proposed for the first time, that is, the operation parameters are divided into two levels according to their impact on SOFC system, the first level of operation parameters are discretized, and the second level of operation parameters are optimized by sparrow search algorithm. The results show that the global optimal operating point can be obtained by the proposed optimization scheme, and the SOFC system can meet the power requirements and temperature constraints and achieve the optimal system efficiency.
关键词
约束优化 /
温度约束 /
麻雀搜索算法 /
固体氧化物燃料电池系统 /
系统效率
Key words
constrained optimization /
temperature constraint /
sparrow search algorithm /
SOFC system /
system efficiency
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基金
上海市科委“浦江人才”项目（18PJ1404200）; 上海市水产动物良种创制与绿色养殖协同创新中心项目（2021科技02-12）
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