摘要
以国产N125MW型汽轮机回热系统为研究对象,通过选择合适的优化参数,构造了适于优化的数学模型。采用智能优化方法进行参数寻优,解决了给水焓升分配的问题。计算结果表明,智能优化方法既具有较快的收敛速度,又能够收敛到最优解,所得最优解明显优于原设计值。
The model was established by the appropriate optimum parameters for the domestic 125MW steam turbine regenerative system. The intelligent optimization methods were used for the parameter self-optimization to solve the problem of the distribution of feed heating in thermal power plants. According to the important results obtained, this kind of method not only has faster velocity of convergence, but also the optimal solution, which is better than the original design value.
出处
《热力透平》
2009年第2期110-113,121,共5页
Thermal Turbine
关键词
汽轮机
回热系统
给水焓升
最优化
steam turbine
regenerative system
enthatpy rise of feed
optimization
