An Implicit switching model for distribution network reliability assessment

Yang Yang, Simon Tindemans, Goran Strbac

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


Modern active distribution networks make use of intelligent switching actions to restore supply to end users after faults. This complicates the reliability analysis of such networks, as the number of possible switching actions grows exponentially with network size. This paper proposes an approximate reliability analysis method where switching actions are modelled implicitly. It can be used graphically as a model reduction method, and simulated using time-sequential or state sampling Monte Carlo methods. The method is illustrated on a simple distribution network, and reliability indices are reported both as averages and distributions. Large speedups result from the use of biased non-sequential Monte Carlo sampling - a method that is hard to combine with explicit switching models.
Original languageEnglish
Title of host publicationPSCC 2016
Subtitle of host publication19th Power Systems Computation Conference : Programme
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Electronic)9788894105124
ISBN (Print)9788894105124
Publication statusPublished - 2016
Externally publishedYes
EventPower Systems Computation Conference (19th : 2016) - Genova, Italy
Duration: 20 Jun 201624 Jun 2016


ConferencePower Systems Computation Conference (19th : 2016)
CityGenova, Italy


  • distribution networks
  • reliability analysis
  • network topology
  • Monte Carlo simulations


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