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基于遗传算法的余热锅炉参数优化设计
引用本文:邹泉,朱小良.基于遗传算法的余热锅炉参数优化设计[J].动力工程,2005,25(4):513-516.
作者姓名:邹泉  朱小良
作者单位:东南大学,动力工程系,南京,210096
摘    要:结合遗传算法理论,提出联合循环电站余热锅炉的参数优化设计模型,针对一定型号的燃气轮机,给出了相应的优化实例。结果表明,利用上述计算模型可以得到余热锅炉的最优设计参数,使联合循环电站的经济性达到最佳。表4参7

关 键 词:动力机械工程  联合循环  参数优化  遗传算法  余热锅炉
文章编号:1000-6761(2005)04-0513-04
收稿时间:2005-01-18
修稿时间:2005-01-18

Parameter Optimization of Heat Recovery Steam Generators by Using Genetic Algorithms
ZHOU Quan,ZHU Xiao-liang.Parameter Optimization of Heat Recovery Steam Generators by Using Genetic Algorithms[J].Power Engineering,2005,25(4):513-516.
Authors:ZHOU Quan  ZHU Xiao-liang
Abstract:Making use of the Genetic Algorithm theory, an optimization model for heat recovery steam generators of combined cycle power plants is being suggested, accompanied by a practical example concerning a certain type of gas turbine. Results show that optimized design parameters can be obtained with the above mentioned calculation model, which may maximize the economic benefit of the relevant combined cycle power plant. Tables 4 and refs 7.
Keywords:power and mechanical engineering  combined cycle  parameter optimization  genetic algorithm  heat recovery steam generator
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