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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

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The uncertainties of probabilistic LV network analysis

Frame, Damien Fleming and Ault, Graham["lib/metafield:join_name.last" not defined]Huang, Sikai (2012) The uncertainties of probabilistic LV network analysis. In: 2012 IEEE Power and Energy Society General Meeting (PESGM). IEEE, San Diego. ISBN 9781467327275

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Abstract

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.