Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures

Anatoly Zlotnik, Line Roald, Scott Backhaus, Michael Chertkov, Goran Andersson

Research output: Contribution to journalArticlepeer-review

164 Scopus citations

Abstract

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. In this paper, 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.

Original languageEnglish (US)
Article number7440893
Pages (from-to)600-610
Number of pages11
JournalIEEE Transactions on Power Systems
Volume32
Issue number1
DOIs
StatePublished - Jan 2017
Externally publishedYes

Keywords

  • Natural gas
  • optimal control
  • power generation scheduling
  • power system security

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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