2021/01/25 by Kaarthik Sundar, Sidhant Misra, Sundar, Kaarthik +5
Energy · Engineering · #Energy, Environment, and Transportation Policies #FOS: Mathematics #Global Energy and Sustainability Research #Optimization and Control (math.OC) #Process Optimization and Integration
paper · pdf · doi:10.48550/arxiv.2101.10398
openalex publication_date 2021/01/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We examine the problem of optimal transport capacity expansion planning for a\ngas pipeline network to service the growing demand of gas-fired power plants\nthat are increasingly used to provide base load, flexibility, and reserve\ngeneration for bulk electric system. The aim is to determine the minimal cost\nset of additional pipes and gas compressors that can be added to the network to\nprovide the additional capacity to service future loads. This combinatorial\noptimization problem is initially formulated as a mixed-integer nonlinear\nprogram, which we then extend to account for the variability that is inherent\nto the demands of gas-fired electricity production and uncertainty in expected\nfuture loads. We consider here steady-state flow modeling while ensuring that\nthe solution is feasible for all possible values of interval uncertainty in\nloads, which results in a challenging semi-infinite problem. We apply\npreviously derived monotonicity properties that enable simplification of the\nproblem to require constraint satisfaction in the two extremal scenarios only,\nand then formulate the robust gas pipeline network expansion planning problem\nusing a mixed-integer second order cone formulation. We consider case studies\non the Belgian network test case to examine the performance of the proposed\napproach.\n