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Title: The Value of Day-Ahead Coordination of Power and Natural Gas Network Operations

Journal Article · · Energies
DOI: https://doi.org/10.3390/en11071628 · OSTI ID:1456304
 [1];  [1];  [2]; ORCiD logo [2]
  1. cleaNRGi® Solutions GmbH, Essen (Germany)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
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The operations of electricity and natural gas transmission networks in the U.S. are increasingly interdependent, due to the growing number of installations of gas fired generators and the penetration of renewable energy sources. This development suggests the need for closer communication and coordination between gas and power transmission system operators in order to improve the efficiency and reliability of the combined energy system. In this paper, we present a co-simulation platform for examining the interdependence between natural gas and electricity transmission networks based on a direct current unit-commitment and economic dispatch model for the power system and a transient hydraulic gas model for the gas system. We analyze the value of day-ahead coordination of power and natural gas network operations and show the importance of considering gas system constraints when analyzing power systems operation with high penetration of gas generators and renewable energy sources. Results show that day-ahead coordination contributes to a reduction in curtailed gas during high stress periods (e.g., large gas offtake ramps) and a reduction in energy consumption of gas compressor stations.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE; Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1456304
Alternate ID(s):
OSTI ID: 1487327
Report Number(s):
NREL/JA-5D00-71349; ENERGA
Journal Information:
Energies, Vol. 11, Issue 7; ISSN 1996-1073
Publisher:
MDPI AGCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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  • Maclaurin, Galen; Draxl, Caroline; Hodge, Bri-Mathias
  • DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory https://doi.org/10.25984/1822195
dataset January 2014
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Cited By (2)

A Multi-Attribute Expansion Planning Model for Integrated Gas–Electricity System journal September 2018
An Adversarial Model for Attack Vector Vulnerability Analysis on Power and Gas Delivery Operations preprint January 2019

Figures / Tables (18)

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24 POWER TRANSMISSION AND DISTRIBUTION
energy systems integration
sector coupling
power gas simulation
day-ahead and real-time coordination
power gas interdependence