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

Journal Article · · IEEE Transactions on Power Systems
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

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.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1460649
Report Number(s):
LA-UR--17-27955
Journal Information:
IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 6 Vol. 33; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (2)

A Multi-Attribute Expansion Planning Model for Integrated Gas–Electricity System journal September 2018
Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures journal January 2019