TY - CONF
T1 - Using power grid schedules in dynamic optimization of gas pipelines
AU - Zlotnik, Anatoly
AU - Chertkov, Michael
AU - Carter, Richard
AU - Hollis, Alex
AU - Daniels, Andrew
AU - Backhaus, Scott
N1 - Funding Information:
Scott Backhaus is principal investigator for LANL projects funded by the Office of Electricity in the U.S. Department of Energy, LANL Program Manager for Office of Electricity and for DHS Critical Infrastructure, and leads LANL's component of the DHS National Infrastructure Simulation and Analysis Group. He received his Ph.D. in Physics in 1997 from the University of California at Berkeley on macroscopic quantum behavior of superfluid He-3 and He-4.
Publisher Copyright:
© Copyright 2016, PSIG, Inc.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85051178378&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051178378&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85051178378
T2 - Pipeline Simulation Interest Group Annual Meeting, PSIG 2016
Y2 - 10 May 2016 through 13 May 2016
ER -