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Title: Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures

The extensive installation of gas-fired power plants in many parts of the world has led electric systems to depend heavily on reliable gas supplies. The use of gas-fired generators for peak load and reserve provision causes high intraday variability in withdrawals from high-pressure gas transmission systems. Such variability can lead to gas price fluctuations and supply disruptions that affect electric generator dispatch, electricity prices, and threaten the security of power systems and gas pipelines. These infrastructures function on vastly different spatio-temporal scales, which prevents current practices for separate operations and market clearing from being coordinated. Here in this article, we apply new techniques for control of dynamic gas flows on pipeline networks to examine day-ahead scheduling of electric generator dispatch and gas compressor operation for different levels of integration, spanning from separate forecasting, and simulation to combined optimal control. We formulate multiple coordination scenarios and develop tractable physically accurate computational implementations. These scenarios are compared using an integrated model of test networks for power and gas systems with 24 nodes and 24 pipes, respectively, which are coupled through gas-fired generators. The analysis quantifies the economic efficiency and security benefits of gas-electric coordination and dynamic gas system operation.
Authors:
ORCiD logo [1] ;  [2] ; ORCiD logo [1] ; ORCiD logo [1] ;  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Federal Inst. of Technology, Zurich (Switzerland). Power Systems Lab. at the Dept. of Electrical Engineering
Publication Date:
Report Number(s):
LA-UR-15-28355
Journal ID: ISSN 0885-8950
Grant/Contract Number:
AC52-06NA25396; 282775
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 32; Journal Issue: 1; 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); European Union (EU)
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; 29 ENERGY PLANNING, POLICY, AND ECONOMY; Computer Science; Energy Sciences; Mathematics; Natural gas; Power generation scheduling; Power system security; Optimal control; Power system dynamics; Generators; Pipelines; Optimization; Mathematical model; Steady-state
OSTI Identifier:
1419744