Optimal Design and Scheduling of Natural Gas Storage Facilities under Multiple Time Scales

With the development of the natural gas industry, the contradiction between upstream gas sources' supply and downstream consumers' demand has become more and more prominent. In order to improve the supply reliability of the natural gas pipeline network, the construction and development of gas storage facilities (GSFs) have become an inevitable trend. Considering different time scales and GSFs constraint equations, this paper establishes the capacity design and scheduling optimization model of GSFs in natural gas pipeline network system under multi-period. The GAMS modeling system and DICOPT solver are adopted to solve the optimization models. Firstly, based on long-term seasonal consumer demand fluctuations and natural gas price changes, the optimal construction capacity and injection and withdrawal scheduling arrangements of underground gas storage (UGS) under different supply scenarios are determined by considering it's peak shaving and hedging functions. The construction of UGS can not only make up for the gas shortage of consumers but also bring considerable economic benefits to the pipeline network system. Secondly, considering the gas storage potential of the pipeline, the optimization strategy of cooperative scheduling of UGS and line-pack is solved under the fluctuation of short-term consumer demand. The reasonable application of line-pack greatly improves the gas supply flexibility of pipeline network system.