重庆理工大学学报2024，Vol.38Issue(3)：226-235,10.DOI:10.3969/j.issn.1674-8425(z).2024.02.025
基于随机优化算法的天然气管道运行优化研究综述
Survey of research on natural gas pipeline operation optimization based on stochastic optimization algorithms
摘要
Abstract
Against the backdrop of China's"dual-carbon"goals,the optimization of natural gas pipeline operations has attracted keen academic interest as it can effectively cut costs,improve efficiency,and help achieve carbon reduction.Stochastic optimization algorithms show advantages over classical deterministic algorithms in dealing with large-scale pipeline networks and mixed-integer nonlinear programming(MINLP)problems.This paper investigates the optimization of natural gas pipeline operations based on stochastic optimization algorithms.Firstly,a mathematical model for natural gas pipeline operations is built.Secondly,stochastic optimization algorithms are employed to achieve optimal scheduling results.Four types of algorithms including genetic algorithms,particle swarm optimization,ant colony optimization,and simulated annealing are employed to analyze,compare,and generalize their applications in natural gas pipeline operations.Finally,the technical challenges and development trends of natural gas pipeline network operation optimization technology are discussed.关键词
天然气/管道/随机优化/运行优化/智能调度Key words
natural gas/pipe network/stochastic optimization/operation optimization/intelligent scheduling分类
信息技术与安全科学引用本文复制引用
梁兵,董莎莎,任玉清,何宇琪,伍连碧,刘筱,廖勇..基于随机优化算法的天然气管道运行优化研究综述[J].重庆理工大学学报,2024,38(3):226-235,10.基金项目
中国石油西南油气田分公司重庆气矿科技项目(22-11) （22-11）
