Pressure Fluctuations in Natural Gas Networks caused by Gas-Electric Coupling
Misha Chertkov, Michael Fisher, Scott Backhaus, Russell Bent, Sidhant, Misra

TL;DR
This paper presents a new method to assess pressure fluctuation risks in natural gas networks caused by gas-electric coupling, especially due to variable gas consumption from wind balancing in power generation.
Contribution
It introduces a model combining forecasted and fluctuating gas consumption to analyze pressure fluctuations, highlighting the impact of renewable energy integration on gas network stability.
Findings
Pressure fluctuations grow diffusively over time due to consumption variability.
The diffusion rate depends on the steady distribution of gas flow.
Application to the Transco pipeline demonstrates the method's relevance.
Abstract
The development of hydraulic fracturing technology has dramatically increased the supply and lowered the cost of natural gas in the United States, driving an expansion of natural gas-fired generation capacity in several electrical inter-connections. Gas-fired generators have the capability to ramp quickly and are often utilized by grid operators to balance intermittency caused by wind generation. The time-varying output of these generators results in time-varying natural gas consumption rates that impact the pressure and line-pack of the gas network. As gas system operators assume nearly constant gas consumption when estimating pipeline transfer capacity and for planning operations, such fluctuations are a source of risk to their system. Here, we develop a new method to assess this risk. We consider a model of gas networks with consumption modeled through two components: forecasted…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Integrated Energy Systems Optimization · Global Energy and Sustainability Research
