Possibilities of using multi - dimensional statistical analyses methods when evaluating reliability of distribution network
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Possibilities of using multi - dimensional statistical analyses methods when evaluating reliability of distribution network
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2A-2TP1%2F051" target="_blank" >2A-2TP1/051: Improving Reliability and Safety of Electrical Networks.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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 Scientific Conference Electric Power Engineering 2010
ISBN
978-80-214-4094-4
ISSN
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e-ISSN
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Number of pages
861
Pages from-to
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Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Hotel Santon, Brno
Event date
May 4, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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