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天然气管网优化调度方法研究
引用本文:刘武 张鹏 刘祎 王登海 杨光. 天然气管网优化调度方法研究[J]. 西南石油大学学报(自然科学版), 2009, 31(3): 146-149. DOI: 10.3863/j.issn.1674-5086.2009.03.034
作者姓名:刘武 张鹏 刘祎 王登海 杨光
作者单位:1.西南石油大学石油工程学院,四川 成都 610500; 2.西安长庆科技工程有限责任公司,陕西 西安 710021
摘    要:以压缩机站最小年运营费用为目标函数,考虑气田资源、压缩机站特性参数、管网输送工艺等多种约束条件,建立了天然气管网优化调度数学模型。基于现代启发式演化算法的基本思想,将差分进化算法的繁殖策略与遗传算法的交叉、变异结合起来形成了一种新的混合遗传算法,应用于模型的优化求解,避免了一般演化算法早熟收敛现象,并以一个12个节点、11条管段、2个压缩机站的天然气管网为例,评选出了最优的管网运行方案,用于该管网的日常运营调度和后期改造设计。结果表明,所建模型和优化方法是有效的,具有一定的实用性。

关 键 词:天然气管网  调度方案  遗传算法  差分进化算法  优化  

DECISION OF OPTIMAL SCHEDULING SCHEME FOR GAS PIPELINE NETWORK
LIU Wu ZHANG Peng LIU Yi WANG Deng-hai YANG Guang. DECISION OF OPTIMAL SCHEDULING SCHEME FOR GAS PIPELINE NETWORK[J]. Journal of Southwest Petroleum University(Seience & Technology Edition), 2009, 31(3): 146-149. DOI: 10.3863/j.issn.1674-5086.2009.03.034
Authors:LIU Wu ZHANG Peng LIU Yi WANG Deng-hai YANG Guang
Affiliation:1.Petroleum Engineering,Southwest Petroleum University Institute,Chengdu Sichuan 610500,China;2.Xi′an Changqing Technology Engineering Co.Ltd.,Xi′an Shanxi 710000,China
Abstract:A mathematical model of decision of optimal scheduling scheme for gas pipeline network is established,it takes minimum annual operating cost of compressor station as objective function after comprehensively considering the resources of gas field,operating parameters of compressor station and work condition of pipeline system.Combing the reproduction strategy of differential evolution algorithm with the cross and variation of genetic algorithm,a new hybrid genetic algorithm is presented to solve the optimal model,and which avoid the premature convergence problem effectively.The analysis of an example in a certain pipeline network system with 12 nodes,11 pipelines and 2 compressor stations demonstrate the effectiveness and applicability of the established model and algorithm.The optimal scheduling scheme can be adapted to daily operation and future retrofit of gas pipeline network.
Keywords:natural gas pipeline network  scheduling scheme  genetic algorithm  differential evolution algorithm  optimization  
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