Nalezení rozvodny s největší důležitostí využitím PageRank

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F07%3A00015076" target="_blank" >RIV/61989100:27240/07:00015076 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/07:00015095

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Finding the most important electricity substations using PageRank - A case study

Popis výsledku v původním jazyce

On-line monitoring of an electricity distribution network is important for the preservation of reliability of the network. The real distribution networks are very large and installing on-line sensors to all components of the distribution network would beunrealistic and very expensive. Fortunately, analyzing the hierarchy of the network it is possible to select only a few amounts of important distribution points - candidates for installing of on-line sensors and remote-controlled equipment. We tried toselect the critical points by using the Google's PageRank algorithm, which was applied to a graph-model of real 110 kV overhead lines network situated in the Czech Republic. The network has 28 high voltage substations (nodes of the graph). The multiplicity of overhead lines is modelled as a weight of the edge of the graph. The results are very promising: Although we did not provide apriori information to the algorithm, the behavior of PageRank algorithm is in full agreement with the beha

Název v anglickém jazyce

Finding the most important electricity substations using PageRank - A case study

Popis výsledku anglicky

On-line monitoring of an electricity distribution network is important for the preservation of reliability of the network. The real distribution networks are very large and installing on-line sensors to all components of the distribution network would beunrealistic and very expensive. Fortunately, analyzing the hierarchy of the network it is possible to select only a few amounts of important distribution points - candidates for installing of on-line sensors and remote-controlled equipment. We tried toselect the critical points by using the Google's PageRank algorithm, which was applied to a graph-model of real 110 kV overhead lines network situated in the Czech Republic. The network has 28 high voltage substations (nodes of the graph). The multiplicity of overhead lines is modelled as a weight of the edge of the graph. The results are very promising: Although we did not provide apriori information to the algorithm, the behavior of PageRank algorithm is in full agreement with the beha

Druh

D - Stať ve sborníku

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

EPE 2007

ISBN

978-80-248-1391-2

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

62-70

Název nakladatele

VŠB TU FEI

Místo vydání

Ostrava

Místo konání akce

—

Datum konání akce

—

Typ akce podle státní příslušnosti

—

Kód UT WoS článku

—