Energy Flow Optimization of Integrated Gas and Power Systems in Continuous Time and Space

Chao Zheng, Jiakun Fang*, Shaorong Wang, Xiaomeng Ai, Zhou Liu, Zhe Chen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

21 Citations (Scopus)
54 Downloads (Pure)

Abstract

Due to the increasing penetration of gas-fired units and power to gas facilities, the electrical power system and natural gas system are more and more bi-directionally coupled. To tackle the challenges on the optimal scheduling operation of an integrated gas and power systems (IGPS), this article focuses on developing a novel approach to build a continuous spatial-temporal optimal operation schedule model. In the light of different time constants of the electrical power and natural gas systems, the continuous spatial-temporal optimal operation schedule model of IGPS is formulated in function space. Additionally, Bernstein polynomials are used to reformulate the continuous spatial-temporal optimization problem of IGPS to mixed-integer linear programming. In the study cases, the simulation results of a simple integrated system and a combined IEEE 39-bus power system and Belgian natural gas network demonstrate the accuracy and effectiveness of the proposed model.

Original languageEnglish
Article number9295384
JournalIEEE Transactions on Smart Grid
Volume12
Issue number3
Pages (from-to)2611-2624
Number of pages14
ISSN1949-3053
DOIs
Publication statusPublished - May 2021

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.

Keywords

  • dynamic gas flow
  • function space
  • Integrated gas and power systems
  • optimal scheduling operation
  • wind power

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