基于遗传算法的某350 MW机组低压排汽缸自动优化  

Automatic Optimization of Exhaust Hood in A 350 MW Steam Turbine Based on Genetic Algorithm

作　　者：王娟丽 尹明艳[1] 钱禹龙 陈阳[1] WANG Juanli;YIN Mingyan;QIAN Yulong;CHEN Yang(Dongfang Turbine Co.,Ltd.,618000,Deyang,Sichuan,China)

机构地区：[1]东方电气东方汽轮机有限公司

出　　处：《东方电气评论》2019年第2期18-21,共4页Dongfang Electric Review

摘　　要：低压排汽缸的性能对汽轮机经济性影响很大,国内外已有很多对排汽缸的研究,自动优化可使低压排汽缸优化更精细化。本文将低压排汽缸进行参数化设计,基于遗传算法对其进行自动优化,并分析了导流环上半修小对自动优化后导流环型线及排气缸性能的影响。结果表明导流环上半修小后自动优化的结果与不修的对比,修小后流场更加稳定,排汽缸静压恢复系数提高约3.2%;与原始对比,优化后排汽缸静压恢复系数提高了11.4%。The performance of the exhaust hood has great influence on steam turbine economy. There are many researches on exhaust hood at home and abroad, and automatic optimization of exhaust hood making the optimization more refinement. In this paper, the exhaust hood by parametric modeling is automatic optimized based on genetic algorithm, and two optimization schemes are analyzed. The results show that when minor repair the guide, the streamline of the optimized result is more stable, and the static pressure recovery is increased by 3.2% prepared with no repair. Compared with original model, the static pressure recovery is increased by 11.4%.

关 键 词：低压排气缸 导流环 自动优化 静压恢复系数 

分 类 号：TK263.1[动力工程及工程热物理—动力机械及工程]