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Power Network Reliability Computations Using Multi-Agent Simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057228" target="_blank" >RIV/00216224:14330/12:00057228 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Power Network Reliability Computations Using Multi-Agent Simulation

  • Original language description

    The power network reliability as a whole is limited by the reliability of the weakest element in the network. Ensuring the reliability just with the readiness to repair or replace broken parts is not feasible economically, and planned element replacements int the middle of their lifetime are often wasting working resources. In the following text, we present a multi-agent simulation system designed for modelling all aspects of power network elements and power network processes. The system is able to predict (by modelling) the weak points of a simulated power network in a long range of time (tens of years). This prediction takes into account the network topology, i.e. each element is modelled in a context that is close to the real one. To show the systemcapabilities, we present two models of computations based on real power networks of 10 kV.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F1842" target="_blank" >GA102/09/1842: Reliable Electric Power Network with Connected Alternative Power Sources</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Transactions on Computational Collective Intelligence

  • ISSN

    2190-9288

  • e-ISSN

  • Volume of the periodical

    2012

  • Issue of the periodical within the volume

    VIII

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    19

  • Pages from-to

    63-81

  • UT code for WoS article

  • EID of the result in the Scopus database