TY - GEN
T1 - A Synthetic Test Instance for a U.S. Natural Gas Network and Associated Power Grid
AU - Carreno, Ignacio Losada
AU - Scaglione, Anna
AU - Zlotnik, Anatoly
N1 - Funding Information:
This study was carried out as part of the "Dynamical Modeling, Estimation, and Optimal Control of Electrical Grid- Natural Gas Transmission Systems" Project for the D.O.E. Office of Electricity Advanced Grid Research and Development program. Work conducted at Los Alamos National Laboratory was done under the auspices of the National Nuclear Security Administration of the U.S. Department of Energy under Contract No. 89233218CNA000001. It was also supported in part by the Director, Office of Electricity Delivery and Energy Reliability, Cybersecurity for Energy Delivery Systems program, of the U.S. Department of Energy, under contract DOE0000780. Any opinions, and findings expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.
Funding Information:
ACKNOWLEDGMENT This study was carried out as part of the “Dynamical Modeling, Estimation, and Optimal Control of Electrical Grid-Natural Gas Transmission Systems” Project for the D.O.E. Office of Electricity Advanced Grid Research and Development program. Work conducted at Los Alamos National Laboratory was done under the auspices of the National Nuclear Security Administration of the U.S. Department of Energy under Contract No. 89233218CNA000001. It was also supported in part by the Director, Office of Electricity Delivery and Energy Reliability, Cybersecurity for Energy Delivery Systems program, of the U.S. Department of Energy, under contract DOE0000780. Any opinions, and findings expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/2
Y1 - 2020/8/2
N2 - In this paper we present a data set that is intended to support ongoing research to address the increasing dependence of electric power networks on natural gas pipelines. Several efforts have emerged to expand the set of sample networks for studying electric power systems at scale, which can be used to develop and test control and optimization concepts and algorithms for these systems. Comparable efforts have developed gas-network test instances that have been valuable for advancing parallel efforts. However, available data sets with realistic representations of these two types of infrastructure systems have not represented their coupling. Here we aim to address this model development shortfall by providing a combined gas-electric test instance, developed from open sources, that represents pipeline and power grid systems in the U.S. with specific information about how these networks interact. Based on our understanding of the function of pipeline systems, we develop a model of a regional system based on publicly available data, and connect it to the ACTIVS U.S. synthetic power grid case. The outcome is a basis for meaningful studies of the interaction between the two types of systems, and exploration of novel management approaches.
AB - In this paper we present a data set that is intended to support ongoing research to address the increasing dependence of electric power networks on natural gas pipelines. Several efforts have emerged to expand the set of sample networks for studying electric power systems at scale, which can be used to develop and test control and optimization concepts and algorithms for these systems. Comparable efforts have developed gas-network test instances that have been valuable for advancing parallel efforts. However, available data sets with realistic representations of these two types of infrastructure systems have not represented their coupling. Here we aim to address this model development shortfall by providing a combined gas-electric test instance, developed from open sources, that represents pipeline and power grid systems in the U.S. with specific information about how these networks interact. Based on our understanding of the function of pipeline systems, we develop a model of a regional system based on publicly available data, and connect it to the ACTIVS U.S. synthetic power grid case. The outcome is a basis for meaningful studies of the interaction between the two types of systems, and exploration of novel management approaches.
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U2 - 10.1109/PESGM41954.2020.9282005
DO - 10.1109/PESGM41954.2020.9282005
M3 - Conference contribution
AN - SCOPUS:85099135716
T3 - IEEE Power and Energy Society General Meeting
BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PB - IEEE Computer Society
T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Y2 - 2 August 2020 through 6 August 2020
ER -