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 op...

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Bibliographic Details
Published in:IEEE transactions on power systems 2018-11, Vol.33 (6), p.6397-6409
Main Authors: Bent, Russell, Blumsack, Seth, Van Hentenryck, Pascal, Borraz-Sanchez, Conrado, Shahriari, Mehdi
Format: Article
Language:English
Subjects:
03 NATURAL GAS
AC-OPF
computational modeling
Convex functions
convex optimization
economics
Elasticity
elasticity model
Electric power demand
Electricity
Electricity consumption
Electricity distribution
Electricity pricing
ENERGY PLANNING, POLICY, AND ECONOMY
Gas expansion
Gas transmission
gas-price volatility
Generators
heat-rate curves
Natural gas
Natural gas industry
Pipelines
planning
Power system economics
Power system planning
power systems
POWER TRANSMISSION AND DISTRIBUTION
second-order cone
Volatility
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Summary: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 paper, 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 in-depth analysis on integrated test systems that include the New England area.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2849958