Modeling and analysis of the remaining useful life of mv xlpe cable: case study of Oman Oil and Gas power grid

Mohamed Qatan, M E A Farrag, Babakalli Alkali, Chengke Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
374 Downloads (Pure)

Abstract

Cables are one of the main assets in the power grid
particularly for distribution network where the loads are widely
spaced, this is a vital issue in oil and gas power grid. Monitoring
cables on-line is an impossible task due to the cost and the
excessive number of distributed cables. In most of oil and gas
production countries the ambient temperature hits 56 degree
Celsius that adds to the failures of power cables and shorten the
cables lifecycle and the hour to hour capacity.
This paper presents the results of estimating the maximum
operating temperature of the cable during different operating load
and under different ambient temperature, it is anticipating its
impacts on the cables lifecycle. This is compared to the cable
manufacturer design specification associated with the normal
operating temperature. The results identify the factors contribute
significantly to the degradation of the physical insulation property
of the cables. In this paper the response time in the thermal
transient model is used to identify the remaining useful life (RUL)
of the cable. The model is used as a diagnostic procedure to detect
the degree of aging, the results show that RUL of underground
cables is 7.5 years and for overhead cables is 13.3 years under
ambient temperature of 47° C and maximum load current.
Original languageEnglish
Title of host publication2018 53rd International Universities Power Engineering Conference (UPEC)
PublisherIEEE
Pages815-820
Number of pages6
ISBN (Electronic)9781538629109
ISBN (Print)9781538629116
DOIs
Publication statusPublished - 13 Dec 2018

Keywords

  • power cables
  • cable insulation
  • power grids
  • power overhead lines
  • Ageing Failure
  • Condition Monitoring
  • Analysis of Cable Lifetimes
  • Failure Process
  • Maintenance
  • Modeling

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