Joint Electricity and Natural Gas Transmission Planning With Endogenous Market Feedbacks

被引：38

作者：

Bent, Russell ^{[1
]}

Blumsack, Seth ^{[2
]}

Van Hentenryck, Pascal ^{[3
]}

Borraz-Sanchez, Conrado ^{[4
]}

Shahriari, Mehdi ^{[2
]}

机构：

[1] Los Alamos Natl Lab, Appl Math & Plasma Phys, Los Alamos, NM 87545 USA

[2] Penn State Univ, University Pk, PA 16802 USA

[3] Georgia Inst Technol, Atlanta, GA 30332 USA

[4] KPMG LLP, Data & Analyt Lighthouse Ctr, Knoxville, TN 37919 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 06期

基金：

美国国家科学基金会;

关键词：

AC-OPF; natural gas; convex optimization; second-order cone; elasticity model; gas-price volatility; heat-rate curves; POWER-SYSTEMS; OPTIMIZATION; RELAXATIONS; EMISSIONS; PROGRAMS; NETWORKS;

D O I：

10.1109/TPWRS.2018.2849958

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：6397 / 6409

页数：13

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