| 家用熔融碳酸盐燃料电池发电系统日常运行的遗传算法优化 |
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| 引用本文： | 李勇,曹广益,余晴春.家用熔融碳酸盐燃料电池发电系统日常运行的遗传算法优化[J].中国化学工程学报,2006,14(3):349-356. |
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| 作者姓名： | 李勇 曹广益 余晴春 |
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| 作者单位： | 上海交通大学;上海交通大学;上海交通大学 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | To decrease the cost of electricity generation of a residential molten carbonate fuel cell （MCFC） power system, multi-crossover genetic algorithm （MCGA）, which is based on ＂multi-crossover＂ and ＂usefulness-based selection rule＂, is presented to minimize the daily fuel consumption of an experimental 10kW MCFC power system for residential application. Under the operating conditions obtained by MCGA, the operation constraints are satisfied and fuel consumption is minimized. Simulation and experimental results indicate that MCGA is efficient for the operation optimization of MCFC power systems.
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| 关 键 词： | 家用熔融碳酸盐燃料电池 发电系统 遗传算法 优化 耗油率 |
| 收稿时间： | 2005-05-31 |
| 修稿时间： | 2005-05-312006-03-30 |
Daily Operation Optimization of a Residential Molten Carbonate Fuel Cell Power System Using Genetic Algorithm |
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| LIYong,CAOGuangyi,YUQingchun.Daily Operation Optimization of a Residential Molten Carbonate Fuel Cell Power System Using Genetic Algorithm[J].Chinese Journal of Chemical Engineering,2006,14(3):349-356. |
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| Authors: | LIYong CAOGuangyi YUQingchun |
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| Affiliation: | Institute of Fuel Cell, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | To decrease the cost of electricity generation of a residential molten carbonate fuel cell (MCFC) power system, multi-crossover genetic algorithm (MCGA), which is based on "multi-crossover" and "usefulness-based selection rule", is presented to minimize the daily fuel consumption of an experimental 10kW MCFC power system for residential application. Under the operating conditions obtained by MCGA, the operation constraints are satisfied and fuel consumption is minimized. Simulation and experimental results indicate that MCGA is efficient for the operation optimization of MCFC power systems. |
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| Keywords: | molten carbonate fuel cell power system fuel consumption operation optimization multi-crossover residential fuel cell genetic algorithm |
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