盐穴型地下储气库调峰优化控制  

Optimization Control on Peak Shaving of Salty-cave Underground Gas Storage

作　　者：严宇[1] 谭羽非[1] 张碧波[2] 

机构地区：[1]哈尔滨工业大学 [2]中国石油西南油气田分公司蜀南气矿

出　　处：《油气储运》2009年第3期7-9,共3页Oil & Gas Storage and Transportation

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,建立了适用于含有地下储气库输气管道的负荷预测模型,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,得出的结论有利于科学确定盐穴型地下储气库的生产方案,提高经济效益。Based on the analysis of gas pipeline operating mode and city gas characteristics,using the pessimistic theory and artificial nerve network combination forecast method,a peak-load forecast model on the underground gas storage along a gas pipeline is established and a craft parameter optimization control strategy for the peak shaving of salty cavern underground gas storage is proposed,and a computation process and analysis result from an actual case is produced as well.The conclusion obtained is useful in determining the production plan of salty cavern underground gas storage scientifically and thus obtains economic efficiency.

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]