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Natural gas maximal load delivery for multi-contingency analysis

Tasseff, Byron Alexander·Coffrin, Carleton James·Bent, Russell Whitford·Sundar, Kaarthik·Zlotnik, Anatoly V.
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Abstract

An increasing dependence on natural gas has amplified existing vulnerabilities to the power grid, including disruptions to gas transmission networks from natural and man-made disasters. To address the operational challenges arising from these disruptions, we, in this study, consider the problem of estimating the steady-state operating capacity of a damaged gas pipeline network while ensuring the maximal delivery of load. Specifically, we formulate the mixed-integer nonconvex maximal load delivery (MLD) problem, which proves difficult to solve on large-scale networks. To address this challenge, we present a relaxation of the MLD problem and use it to determine bounds on the transport capacity of a gas pipeline system. A rigorous computational evaluation over network models ranging in size from 11 to 4,197 junctions shows that the relaxation-based method is suitable for analyzing the impacts of multi-contingency network disruptions, often converging to the optimal solution of the relaxation in less than ten seconds.

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03 NATURAL GASConvex relaxationElectric powerMulti-contingencyNatural gasNetwork

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Tasseff, Byron Alexander, Coffrin, Carleton James, Bent, Russell Whitford, Sundar, Kaarthik, Zlotnik, Anatoly V.. 2022-10-18. Natural gas maximal load delivery for multi-contingency analysis. https://doi.org/10.1016/j.compchemeng.2022.108032

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