Integrated design optimization for internal, external pipeline networks and equipment in gas storage injection and production system

Due to the high investment, this highlights the pivotal role of the surface injection and production system (SIPS) in the construction of underground natural gas storage (UNGS), effective optimization design is crucial for the sustainable development. This paper focuses on the precise structure for optimization, providing a detailed analysis of internal pipelines (INPIPE) in stations and considering interconnection with external pipelines (EXPIPE). To meet the gas injection and production requirements, an integrated parameter optimization design model is developed to minimize the total investment of the SIPS, comprehensively considers boundary conditions such as pressure and flow rates, systematically designs equipment selection. This paper proposes the hybrid modified feasible directions method (HMFDM) and hybrid sequential quadratic programming (HSQP) algorithms to practical case studies. The results indicate that the HMFDM algorithm achieves an investment saving of 12.2203 × 10⁴ CNY compared to the HSQP algorithm, highlighting its remarkable efficiency. Through comparative analysis, identifies an optimal pipeline network topology scheme and single pipeline mode is most effective under specific parameter conditions. These validate the reliability of the integrated parameter optimization design model as well as its effectiveness in reducing investments of SIPS.