Fault location for medium voltage underground cables using Bayesian inference

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2 Citations (Scopus)


This paper proposes a method for fault location in medium voltage grids with underground cables, using Bayesian inference. The prior distribution of fault position is obtained from the component failure database. With the measured fault loop impedance, the posterior distribution is calculated based on Bayes' theorem. Several random factors are considered during the calculation, including measurement errors, fault breakdown resistance, and inaccuracies of zero-sequence parameters. The distribution grid operators can use the calculated posterior distribution to rank the possible faulted sections and facilitate the restoration process, which can reduce the interruption duration of power supply.
Original languageEnglish
Title of host publicationProceedings of PowerTech, 2015 IEEE Eindhoven, June 29 2015-July 2 2015, Eindhoven, The Netherlands
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
Publication statusPublished - 2 Jul 2015
Event2015 IEEE Power Tech - Eindhoven, Netherlands
Duration: 29 Jun 20152 Jul 2015


Conference2015 IEEE Power Tech
Internet address


  • Bayesian inference
  • fault location
  • fault loop impedance
  • underground cable


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