The uncertainties of probabilistic LV network analysis

Damien Fleming Frame, Graham Ault, Sikai Huang

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

10 Citations (Scopus)


The anticipated impact of low-carbon technology and the advent of the Smart Grid has provoked increased interest in the low voltage (LV) power distribution networks. Probabilistic and long period time-series analysis of LV networks is becoming increasingly common, as is the use of unbalanced, three-phase network modeling. This paper reviews some recent approaches to probabilistic analysis of LV networks and considers the uncertainty introduced by the underlying assumptions. A specific case study analysis of electric vehicle (EV) penetration on a generic UK distribution network is used to investigate the effect of key assumptions on the results of a probabilistic analysis. The paper concludes that probabilistic LV network analysis is a powerful tool for distribution network planning, however the trade-offs between imperfect modeling data and the reliability of results need to be well understood and incorporated into the interpretation of results.
Original languageEnglish
Title of host publication2012 IEEE Power and Energy Society General Meeting (PESGM)
Place of PublicationSan Diego
Number of pages8
ISBN (Print)9781467327275
Publication statusPublished - 23 Jul 2012
EventIEEE Power and Energy Society General Meeting - San Diego, CA, United States
Duration: 22 Jul 201226 Jul 2012


ConferenceIEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CitySan Diego, CA


  • LV network analysis
  • electric vehicles
  • low-carbon technology
  • smart grids
  • low voltage
  • power distribution networks


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  • SSEPD Endowed Fellowship

    Frame, D. & Ault, G.


    Project: Research Fellowship

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