Two-stage robust power cost minimization in a natural gas compressor station  

作　　者：Yize Meng Ruoran Chen Keren Zhang Tianhu Deng 

机构地区：[1]Department of Industrial Engineering,Tsinghua University,Beijing,100084,China

出　　处：《Petroleum Science》2022年第1期409-428,共20页石油科学（英文版）

基　　金：the support from the National Science Foundation of China(Grant 71822105)。

摘　　要：Optimal operation of a compressor station is important since it accounts for 25%to 50%of a company’s total operating budget.In short-term management of a compressor station,handling demand uncertainty is important yet challenging.Previous studies either require precise information about the distribution of uncertain parameters or greatly simplify the compressor model.We build a two-stage robust optimization framework of power cost minimization in a natural gas compressor station with nonidentical compressors.In the first stage,decision variables are the ON/OFF state of each compressor and discharge pressure.The worst-case cost of the second stage is incorporated in the first stage.Firststage decision variables feasibility is discussed and proper feasibility cuts are also proposed for the first stage.We employ a piece-wise approximation and propose accelerate methods.Our numerical results highlight two advantages of robust approach when managing uncertainty in practical settings:(1)the feasibility of first-stage decision can be increased by up to 45%,and(2)the worst-case cost can be reduced by up to 25%compared with stochastic programming models.Furthermore,our numerical experiments show that the designed accelerate algorithm has time improvements of 1518.9%on average(3785.9%at maximum).

关 键 词：Natural gas Single station power minimization Nonconvex robust optimization C&CG algorithm 

分 类 号：TE974[石油与天然气工程—石油机械设备]