Joint Planning of Natural Gas and Electric Power Transmission with Spatially Correlated Failures Blumsack, Seth Su, Wenjing 2021-12-24T17:50:59Z 2021-12-24T17:50:59Z 2022-01-04
dc.description.abstract We develop and illustrate a method for the joint planning of natural gas and electric power systems that are subject to spatially correlated failures of the kind that would be expected to occur in the case of extreme weather events. Our approach utilizes a two-stage stochastic planning and operations framework for a jointly planned and operated gas and electric power transmission system. Computational tractability is achieved through convex relaxations of the natural gas flow equations and the use of a machine learning algorithm to reduce the set of possible contingencies. We illustrate the method using a small test system used previously in the literature to evaluate computational performance of joint gas-grid models. We find that planning for geographically correlated failures rather than just random failures reduces the level of unserved energy relative to planning for random (spatially uncorrelated failures). Planning for geographically correlated failures, however, does not eliminate the susceptability of the joint gas-grid system to spatially uncorrelated failures.
dc.format.extent 11 pages
dc.identifier.doi 10.24251/HICSS.2022.439
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Resilient Networks
dc.subject climate change
dc.subject power system planning
dc.subject resilience
dc.subject stochastic optimization
dc.title Joint Planning of Natural Gas and Electric Power Transmission with Spatially Correlated Failures
dc.type.dcmi text
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