Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Linepack planning models for gas transmission network under uncertainty

Tools
- Tools
+ Tools

Tran, Trung Hieu, French, Simon, Ashman, Rhys and Kent, Edward (2018) Linepack planning models for gas transmission network under uncertainty. European Journal of Operational Research, 268 (2). pp. 688-702. doi:10.1016/j.ejor.2018.01.033 ISSN 0377-2217.

[img]
Preview
PDF
WRAP-linepack-planning-models-gas-network-French-2018.pdf - Accepted Version - Requires a PDF viewer.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1868Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.ejor.2018.01.033

Request Changes to record.

Abstract

Open market transient behaviours create challenges for National Grid, the UK gas transmission network operator, in meeting limits on pressure and linepack, i.e. the quantity of gas in the network. In this paper, four mixed-integer linear programming models are proposed for the optimal linepack planning to compensate for the fluctuation of gas demand. The first model minimises total deviation between planned and targeted linepacks such that all the customer’s demand and other network constraints are satisfied. The second model determines actions, including timings, to minimise total cost for resolving the gas deficit. We then extend this to a third model to deal with the periodical supply shortfall in the gas transmission network, and a fourth model to investigate the impact of compressor failure on the linepack management. The efficiency of these models is investigated and validated using real case study data. Experimental results show that our models can produce the optimal linepack plans under certain scenarios that current tools at National Grid cannot achieve.

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Gas industry -- Great Britain -- Forecasting., Natural gas -- Great Britain., Electric utilities., Petroleum industry and trade -- Statistics., Natural gas -- Great Britain -- Reserves.
Journal or Publication Title: European Journal of Operational Research
Publisher: Elsevier Science BV
ISSN: 0377-2217
Official Date: 16 July 2018
Dates:
DateEvent
16 July 2018Published
31 January 2018Available
13 January 2018Accepted
Volume: 268
Number: 2
Page Range: pp. 688-702
DOI: 10.1016/j.ejor.2018.01.033
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 13 March 2018
Date of first compliant Open Access: 1 March 2020
Funder: National Grid
Grant number: NIA_NGGT0022

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us