Possibilities of using multi - dimensional statistical analyses methods when evaluating reliability of distribution network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87876" target="_blank" >RIV/00216305:26220/10:PU87876 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Possibilities of using multi - dimensional statistical analyses methods when evaluating reliability of distribution network

Popis výsledku v původním jazyce

This paper deals with usage of multivariate statistical analyses methods as tools for simulation reliability of distribution network. At present a description of a feeder failure is created by the help of dependence of a number of failures on length of the feeder, i.e. specific failure rate, which quite mismatch, because even two the same long lines can have different count of failures per annum. Analysis uses at description one's feeder more attributes. Preferred methods for description of feeders groups are a cluster analysis (CLU) and a principal component analysis (PCA). At the end of the paper there is a comparison between performed simulation of SAIFI with negative binomial distribution and values provided by the technique which divides feeders according to their lengths. Then a search for the dependencies between attributes and feeders division is described.

Název v anglickém jazyce

Possibilities of using multi - dimensional statistical analyses methods when evaluating reliability of distribution network

Popis výsledku anglicky

This paper deals with usage of multivariate statistical analyses methods as tools for simulation reliability of distribution network. At present a description of a feeder failure is created by the help of dependence of a number of failures on length of the feeder, i.e. specific failure rate, which quite mismatch, because even two the same long lines can have different count of failures per annum. Analysis uses at description one's feeder more attributes. Preferred methods for description of feeders groups are a cluster analysis (CLU) and a principal component analysis (PCA). At the end of the paper there is a comparison between performed simulation of SAIFI with negative binomial distribution and values provided by the technique which divides feeders according to their lengths. Then a search for the dependencies between attributes and feeders division is described.

Druh

D - Stať ve sborníku

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

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Projekt

<a href="/cs/project/2A-2TP1%2F051" target="_blank" >2A-2TP1/051: Zvýšení spolehlivosti a bezpečnosti elektrických sítí (Fakulta elektrotechniky a komunikačních technologií).</a><br>

Návaznosti

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

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-80-214-4094-4

ISSN

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e-ISSN

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Počet stran výsledku

861

Strana od-do

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Název nakladatele

Brno University of Technology

Místo vydání

Brno

Místo konání akce

Hotel Santon, Brno

Datum konání akce

4. 5. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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