Fault Detection in Mesh Network Utilizing Measured Data from MV/LV Transformer Stations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145009" target="_blank" >RIV/00216305:26220/22:PU145009 - 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
Fault Detection in Mesh Network Utilizing Measured Data from MV/LV Transformer Stations
Original language description
This paper aims at fault detection in a low voltage meshed network based on current monitoring at distribution transformer stations. For indication of fuse (or line) interruption a simple algorithm has been designed. The algorithm is based on evaluating current changes at low voltage feeders and comparing them to threshold values derived from normal operation state. For correct setting of threshold values of current changes, sensitivity analysis of load behavior is carried out. The network sensitivity to load changes is presented using both normalized load profile data and real measured data from several distribution stations. The algorithm performance is then tested on a numerical model considering interruption of each individual line section (fuse breaking). The simulations are carried out with a number of different threshold settings using extensive meshed network model. The study is supplemented with topological categorization of line sections to specify the position of the interrupted line within the network.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/TK02030039" target="_blank" >TK02030039: Energy System for Grids</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
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 Symposium on Electrical Power Engineering ELEKTROENERGETIKA 2022
ISBN
978-80-553-4104-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
272-276
Publisher name
Technical University of Košice
Place of publication
Košice
Event location
Stará Lesná
Event date
Sep 12, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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