盐穴型地下储气库调峰优化控制研究  

RESEARCH OF OPTIMIZATION CONTROL ABOUT ADJUSTMENT OF PEAK-LOAD IN SALT-CAVE UNDERGROUND GAS STORAGE

作　　者：严宇[1] 任志清[2] 谭羽非[1] 

机构地区：[1]哈尔滨工业大学,黑龙江哈尔滨150001 [2]新奥集团能源供应链有限公司,河北廊坊065001

出　　处：《石油工业计算机应用》2008年第2期37-39,共3页Computer Applications Of Petroleum

摘　　要：在分析输气管道运行工况与城市用气特点的基础上,采用灰色理论与人工神经网络组合预测方法,建立了适合沿线布有地下储气库的输气管道负荷预测模型,提出了盐穴型地下储气库调峰工艺参数优化控制策略,并以实例形式给出了计算过程及分析结果,所得出的相关结论有利于科学确定盐穴型地下储气库各溶腔最优生产方案,提升经济效益。On the basis of analyzing gas pipeline service condition and characteristics of gas use in the city,a predictive model is established by using combination of grey theory and artificial neural network which fits the underground gas storage along the line.The policy about optimization control of the peak adjustment technological parameter in a salt-cave underground gas storage is put forward.Cases present computational process and analysis result.The relative outcome is helpful to determine the best production scheme for each cavity of the underground gas storage and improve economic benefit.

关 键 词：盐穴地下储气库 负荷预测 灰色理论 人工神经网络 优化控制 

分 类 号：TE972.2[石油与天然气工程—石油机械设备] TQ116.14[化学工程—无机化工]