Using power grid schedules in dynamic optimization of gas pipelines

Anatoly Zlotnik, Michael Chertkov, Richard Carter, Alex Hollis, Andrew Daniels, Scott Backhaus

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

The recent increase in the use of natural gas as a fuel for electricity production has greatly strengthened the interdependence between the electric power and natural gas industries. The resulting intra-day fluctuations in pipeline loads caused by intermittent or unexpected gas-fired electric power plant operations have become particularly problematic. To mitigate this issue, regulatory changes have been initiated to lower the barriers on communication between operators of power grids and gas pipelines. In this paper, we examine some types of intra-day operational information that pipeline managers can obtain from power grid operators in order to forecast time-varying pipeline loads and characterize uncertainty of these loads in space and time. We also present methods that could be developed by the pipeline simulation industry to more effectively use such information to mitigate intra-day gas-electricity interdependence issues. Specifically, we describe new techniques for using transient optimization to find feasible compressor operation schedules, which are resilient under uncertainty, given such power system data,. Bringing these methods into practice can enable gas pipelines to reduce the risk of service interruptions caused by intermittent power plant activity. Additionally, pipelines will be able to more reliably service power plants that use their gas nominations during only part of the day, or that may start up or shut down with little warning.

Original languageEnglish
Publication statusPublished - 2016
Externally publishedYes
EventPipeline Simulation Interest Group Annual Meeting, PSIG 2016 - Vancouver, Canada
Duration: 10 May 201613 May 2016

Conference

ConferencePipeline Simulation Interest Group Annual Meeting, PSIG 2016
Country/TerritoryCanada
CityVancouver
Period10/05/1613/05/16

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