Application of Hybrid Genetic Algorithm in Long-distance Gas Pipelines Optimal Energy Consumption Model

被引：0

作者：

Li Ligang ^{[1
]}

Sun Weifeng ^{[1
]}

Wang Jiguang ^{[1
]}

Dai Yongshou ^{[1
]}

机构：

[1] China Univ Petr E, Coll Informat & Control Engn, Dongying, Peoples R China

来源：

2011 3RD WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING (ACC 2011), VOL 4 | 2011年 / 4卷

关键词：

Gas pipeline; hybrid genetic algorithm; active-set algorithm; nonlinear optimization; punish function;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To minimize the pipelines operating cost. The nonlinear optimal mathematical model of branched long-distance pipeline network, which includes compressor station, was made. Ignoring the impact of temperature and fuel gas, the fitness function was established by taking advantage of the punish function. The hybrid genetic algorithm with elitist preservation mixed the active-set algorithm was used to solve the steady-state model. The results of the simulation show that this approach is convergent. It is an effective method to solve the optimization problem.

引用

页码：117 / 122

页数：6