摘要
随着国内燃气管网规模的不断扩大,结构日益复杂,燃气管网运行的安全稳定性成为研究重点。研究程序算法对实现及时分析和预测工况及事故显得尤为重要。现用VS 2017 C++,在天然气管网水力工况模拟系统中分别使用黄金分割法、模拟退火算法、遗传算法、改进的遗传算法,从收敛速度和收敛精度出发,对比研究4种算法在水力工况模拟系统中的效果。实验结果表明,改进的遗传算法迭代次数较少、收敛速度更快、稳定性更强、结果更精准。
With the continuous expansion of domestic gas pipe network and the increasingly complex structure,the safety and stability of gas pipe network operation has become a research focus.It is very important to study program algorithm to analyze and predict working conditions and accidents in time.Now using VS2017C++,golden section method,simulated annealing algorithm,genetic algorithm and improved genetic algorithm are respectively used in the hydraulic condition simulation system of natural gas pipe network.Starting from the convergence rate and convergence accuracy,the effectiveness of four algorithms in the hydraulic condition simulation system is compared.Experimental results show that the improved genetic algorithm has fewer iterations,faster convergence,stronger stability and more accurate results.
作者
姚先威
史云怡
YAO Xianwei;SHI Yunyi(Wuhan Branch of Harbin Tianyuan Petrochemical Engineering Design Co.,Ltd.,Wuhan,Hubei 430000,China;School of Electronics and Information Technology,Guangdong Polytechnic Normal University,Guangzhou,Guangdong 510080,China)
出处
《自动化应用》
2023年第17期39-42,共4页
Automation Application
关键词
燃气管网
当量粗糙度
自适应辨识
改进的遗传算法
gas pipeline network
equivalent roughness
adaptive identification
improved genetic algorithm
