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Error estimation of Monte Carlo reliability model of power distribution network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86075709" target="_blank" >RIV/61989100:27240/10:86075709 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Error estimation of Monte Carlo reliability model of power distribution network

  • Original language description

    The Monte-Carlo model could be a robust tool for estimating reliability of power distribution networks. As dealing with Monte Carlo calculations, there is a problem with uncertainties of resulting data coming out from the simulation model. Usually, thereis no exact software tool available to tell, whenever the resulting data are within the range of user defined precision. In this paper we discuss a method for calculating exact Poisson confidence intervals for a simulation model of a power distributionnetwork. Examples and MS Excel programs are given.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 11th International Scienticic Conference Electric Power Engineering 2010

  • ISBN

    978-80-214-4094-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    May 4, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000284981100112