Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling

被引:74
作者
Chertkov, Michael [1 ,2 ,3 ]
Backhaus, Scott [3 ,4 ]
Lebedev, Vladimir [5 ]
机构
[1] Los Alamos Natl Lab, Div Theoret, Los Alamos, NM 87545 USA
[2] Los Alamos Natl Lab, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA
[3] New Mexico Consortium, Los Alamos, NM 87544 USA
[4] Los Alamos Natl Lab, Mat Phys & Applicat Div, Los Alamos, NM 87545 USA
[5] Landau Inst Theoret Phys, Chernogolovka 142432, Moscow Region, Russia
关键词
Natural gas network; Power grid network; Optimization; Uncertainty; Fluctuations; NATURAL-GAS; OPTIMAL POWER; FLOW; MODEL; ELECTRICITY; OPTIMIZATION; SYSTEMS; NETWORK;
D O I
10.1016/j.apenergy.2015.09.085
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The revolution of hydraulic fracturing has dramatically increased the supply and lowered the cost of natural gas in the United States driving an expansion of natural gas-fired generation capacity in many electrical grids. Unrelated to the natural gas expansion, lower capital costs and renewable portfolio standards are driving an expansion of intermittent renewable generation capacity such as wind and photovoltaic generation. These two changes may potentially combine to create new threats to the reliability of these interdependent energy infrastructures. Natural gas-fired generators are often used to balance the fluctuating output of wind generation. However, the time-varying output of these generators results in time-varying natural gas burn rates that impact the pressure in interstate transmission pipelines. Fluctuating pressure impacts the reliability of natural gas deliveries to those same generators and the safety of pipeline operations. We adopt a partial differential equation model of natural gas pipelines and use this model to explore the effect of intermittent wind generation on the fluctuations of pressure in natural gas pipelines. The mean square pressure fluctuations are found to grow linearly in time with points of maximum deviation occurring at the locations of flow reversals. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:541 / 551
页数:11
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