The Optimization Of Boiler Operation Based On Intelligent Algorithm

被引：0
|
作者：
Zhou, Xinli [1 ]
机构：
[1] Sch North China Elect Power Univ, Baoding 071000, Peoples R China
来源：
PROCEEDINGS OF THE 2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER ENGINEERING AND ELECTRONICS (ICECEE 2015) | 2015年 / 24卷
关键词：
controllable operating parameters; genetic algorithm; nonlinear programming;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Boiler efficiency is influenced by many factors. In order to find and realize optimum efficiency of boiler, the concept of controllable operating parameter is introduce to select the parameters and optimize them. Finally, 3 parameters are determined to participate in optimization, namely, excess air coefficient alpha, exhaust gas temperature theta(py) and main steam flow D. Then this paper conclude the relationship between these parameters and boiler efficiency respectively. By using the function optimization algorithm based on genetic algorithm and nonlinear programming, the optimum scheme of boilers and calculate optimal solution of eta(glzy) is achieved, that is eta(glzy) = 93.110%.
引用
收藏
页码：1429 / 1434
页数：6
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