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Abstract

Utilizing operational flexibility from natural gas networks can foster the integration of uncertain and variable renewable power production. We model a combined power and natural gas dispatch to reveal the maximum potential of linepack, i.e., energy storage in the pipelines, as a source of flexibility for the power system. The natural gas flow dynamics are approximated by a combination of steady-state equations and varying incoming and outgoing flows in the pipelines to account for both natural gas transport and linepack. This steady-state natural gas flow results in a nonlinear and nonconvex formulation. To cope with the computational challenges, we explore convex quadratic relaxations and linear approximations. We propose a novel mixed-integer second-order cone formulation including McCormick relaxations to model the bidirectional natural gas flow accounting for linepack. Flexibility is quantified in terms of system cost compared to a dispatch model that either neglects linepack or assumes infinite storage capability.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/ptc.2019.8810632
https://doi.org/10.1109/PTC.2019.8810632,
https://backend.orbit.dtu.dk/ws/files/170561101/Anna_PowerTech_2019.pdf
https://backend.orbit.dtu.dk/ws/files/170561101/Anna_PowerTech_2019.pdf,
https://orbit.dtu.dk/en/publications/coordination-of-power-and-natural-gas-systems-convexification-app,
https://orbit.dtu.dk/en/publications/coordination-of-power-and-natural-gas-systems-convexification-approaches-for-linepack-modeling(a7528d01-818b-4372-bcd6-86b76453cac5).html,
https://academic.microsoft.com/#/detail/2967659336
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Document information

Published on 01/01/2020

Volume 2020, 2020
DOI: 10.1109/ptc.2019.8810632
Licence: CC BY-NC-SA license

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