Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures

Journal Article · Thu Mar 24 00:00:00 EDT 2016 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2016.2545522· OSTI ID:1419744

Zlotnik, Anatoly  ^[1]; Roald, Line ^[2]; Backhaus, Scott  ^[1]; Chertkov, Michael  ^[1]; Andersson, Goran ^[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

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.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA); European Union (EU)
• Grant/Contract Number: AC52-06NA25396; 282775
• OSTI ID: 1419744
• Report Number(s): LA-UR-15-28355
• Journal Information: IEEE Transactions on Power Systems, Vol. 32, Issue 1; ISSN 0885-8950
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

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