Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks
Abstract
Recent trends in gas-fired power plant installation has increased the connections between the electric power and natural gas industries. Despite these dependencies, both industries must meet commercial, political, operational and technical requirements that often force the industries to plan and operate in isolation. As a result, undesired situations may arise, such as those experienced by both systems during the winter of 2013/2014 in the northeastern United States. In this work, we consider the technical challenges and present a Combined Electricity and Gas Expansion (CEGE) planning model. The CEGE model minimizes the cost of meeting gas and electricity demand during high stress conditions and introduces an elasticity model for analysis of gas-price volatility caused by congestion. The underlying mathematical formulation considers recent advances in convex approximations to make the problem computationally tractable when applied to large-scale CEGE instances. We conduct an indepth analysis on integrated test systems that include the New England area.
- Authors:
-
[1];
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Pennsylvania State Univ., University Park, PA (United States). Energy and Mineral Engineering
- National Information and Communication Technology Center Australia (NICTA), Melbourne, VIC (Australia). Victoria Research Lab. (VRL)
- Pennsylvania State Univ., University Park, PA (United States). Dept. of Energy and Mineral Engineering
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
- OSTI Identifier:
- 1460649
- Report Number(s):
- LA-UR-17-27955
Journal ID: ISSN 0885-8950
- Grant/Contract Number:
- AC52-06NA25396; CMMI-1638331
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Power Systems
- Additional Journal Information:
- Journal Volume: 33; Journal Issue: 6; Journal ID: ISSN 0885-8950
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 03 NATURAL GAS; 29 ENERGY PLANNING, POLICY, AND ECONOMY; AC-OPF; natural gas; convex optimization; second-order cone; elasticity model; gas-price volatility; heat-rate curves; power systems; generators; computational modeling; planning; pipelines; economics
Citation Formats
Bent, Russell, Blumsack, Seth, Van Hentenryck, Pascal Rene, Borraz Sanchez, Conrado, and Shahriari, Mehdi. Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks. United States: N. p., 2018.
Web. doi:10.1109/TPWRS.2018.2849958.
Bent, Russell, Blumsack, Seth, Van Hentenryck, Pascal Rene, Borraz Sanchez, Conrado, & Shahriari, Mehdi. Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks. United States. https://doi.org/10.1109/TPWRS.2018.2849958
Bent, Russell, Blumsack, Seth, Van Hentenryck, Pascal Rene, Borraz Sanchez, Conrado, and Shahriari, Mehdi. Mon .
"Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks". United States. https://doi.org/10.1109/TPWRS.2018.2849958. https://www.osti.gov/servlets/purl/1460649.
@article{osti_1460649,
title = {Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks},
author = {Bent, Russell and Blumsack, Seth and Van Hentenryck, Pascal Rene and Borraz Sanchez, Conrado and Shahriari, Mehdi},
abstractNote = {Recent trends in gas-fired power plant installation has increased the connections between the electric power and natural gas industries. Despite these dependencies, both industries must meet commercial, political, operational and technical requirements that often force the industries to plan and operate in isolation. As a result, undesired situations may arise, such as those experienced by both systems during the winter of 2013/2014 in the northeastern United States. In this work, we consider the technical challenges and present a Combined Electricity and Gas Expansion (CEGE) planning model. The CEGE model minimizes the cost of meeting gas and electricity demand during high stress conditions and introduces an elasticity model for analysis of gas-price volatility caused by congestion. The underlying mathematical formulation considers recent advances in convex approximations to make the problem computationally tractable when applied to large-scale CEGE instances. We conduct an indepth analysis on integrated test systems that include the New England area.},
doi = {10.1109/TPWRS.2018.2849958},
journal = {IEEE Transactions on Power Systems},
number = 6,
volume = 33,
place = {United States},
year = {Mon Jun 25 00:00:00 EDT 2018},
month = {Mon Jun 25 00:00:00 EDT 2018}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 27 works
Citation information provided by
Web of Science
Web of Science
Figures / Tables:
Fig. 1: Normalized price sensitivities for the expensive gas zone (left panel, based on Transco Zone 6 Non-New York) and the cheap gas zone (right panel, based on the Transco Leidy zone).
All figures and tables
(12 total)
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referencing / citing this record:
A Multi-Attribute Expansion Planning Model for Integrated Gas–Electricity System
journal, September 2018
- Khaligh, Vahid; Oloomi Buygi, Majid; Anvari-Moghaddam, Amjad
- Energies, Vol. 11, Issue 10
Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures
journal, January 2019
- Beyza, Jesus; Garcia-Paricio, Eduardo; Yusta, Jose
- Energies, Vol. 12, Issue 3
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.