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Joint Expansion Planning for Natural Gas and Electric Transmission with Endogenous Market Feedbacks

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dc.contributor.author Bent, Russell
dc.contributor.author Blumsack, Seth
dc.contributor.author van Hentenryck, Pascal
dc.contributor.author Borraz Sanchez, Conrado
dc.contributor.author Backhaus, Scott
dc.date.accessioned 2017-12-28T01:04:04Z
dc.date.available 2017-12-28T01:04:04Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50216
dc.description.abstract The recent and rapid shift towards the increased use of natural gas for power generation has convinced both power grid operators and regulators that additional coordination between electric power and natural gas transmission is needed to ensure the reliable operation of both systems. We report on an ongoing modeling effort for joint gas-grid expansion planning. We develop a Combined Electricity and Gas Expansion (CEGE) planning model that determines least-cost network expansions for power and gas transmission in a way that endogenizes the effects of expansion decisions on locational costs for electric power and natural gas deliveries. The CEGE model, which leverages recent advances in convex approximations for large-scale nonlinear systems, is illustrated on a new gas-grid test system topologically similar to the Northeastern United States. We show that the CEGE model is computationally tractable, and how the model might be used to jointly plan infrastructures to avoid extreme events such as the coincident gas-electric peaks experienced during the 2014 polar vortex.
dc.format.extent 11 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Markets, Policy, and Computation
dc.subject Convex Optimization, Gas-Grid Coordination, Natural Gas System Planning, Power System Planning,
dc.title Joint Expansion Planning for Natural Gas and Electric Transmission with Endogenous Market Feedbacks
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2018.328
Appears in Collections: Markets, Policy, and Computation


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