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Title: Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks

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:
ORCiD logo [1] ;  [2] ;  [3] ;  [1] ;  [4]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Pennsylvania State Univ., University Park, PA (United States). Energy and Mineral Engineering
  3. National Information and Communication Technology Center Australia (NICTA), Melbourne, VIC (Australia). Victoria Research Lab. (VRL)
  4. Pennsylvania State Univ., University Park, PA (United States). Dept. of Energy and Mineral Engineering
Publication Date:
Report Number(s):
LA-UR-17-27955
Journal ID: ISSN 0885-8950
Grant/Contract Number:
AC52-06NA25396; CMMI-1638331
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Name: IEEE Transactions on Power Systems; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
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
OSTI Identifier:
1460649

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., 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. doi:10.1109/TPWRS.2018.2849958.
Bent, Russell, Blumsack, Seth, Van Hentenryck, Pascal Rene, Borraz Sanchez, Conrado, and Shahriari, Mehdi. 2018. "Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks". United States. doi:10.1109/TPWRS.2018.2849958.
@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 = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}