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Reliability Model of Joint Electricity and Natural Gas System Considering Electric Compressor Failures under Different Network Topologies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We formulate a steady-state operational model for natural gas and electric transmission that is capable of considering bidirectional interdependence. The electric transmission system depends on the gas transmission system to provide fuel to power plants for reliable operations. The gas transmission system depends on the electric transmission system to provide power for some compressors, which ensures sufficient gas deliverability. We illustrate our formulation using a gas-grid test system with realistic properties, that is based on the topology of these networks in the northeastern part of the United States. Subjecting this test system to failures involving both natural gas and electric transmission demonstrates that having a larger fraction of electric-driven gas compressors (which rely on the power grid) worsens the impact of contingencies, relative to having compressors that use natural gas and on-site engines to run. The extent of this impact is sensitive to both the spatial pattern of gas-fired generation in the power grid, and the spatial distribution of electrified compressors in the gas transmission grid.

Original languageEnglish (US)
Title of host publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages3072-3081
Number of pages10
ISBN (Electronic)9780998133171
StatePublished - 2024
Event57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, United States
Duration: Jan 3 2024Jan 6 2024

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference57th Annual Hawaii International Conference on System Sciences, HICSS 2024
Country/TerritoryUnited States
CityHonolulu
Period1/3/241/6/24

All Science Journal Classification (ASJC) codes

  • General Engineering

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