Detail publikace

Fault Detection in Mesh Network Utilizing Measured Data from MV/LV Transformer Stations

KRČÁL, V. TOPOLÁNEK, D.

Originální název

Fault Detection in Mesh Network Utilizing Measured Data from MV/LV Transformer Stations

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

meshed network; distributed measurement; fault detection; current changes; low voltage

Autoři

KRČÁL, V.; TOPOLÁNEK, D.

Vydáno

12. 9. 2022

Nakladatel

Technical University of Košice

Místo

Košice

ISBN

978-80-553-4104-0

Kniha

Proceedings of the 11th International Scientific Symposium on Electrical Power Engineering ELEKTROENERGETIKA 2022

Edice

1

Strany od

272

Strany do

276

Strany počet

5

BibTex

@inproceedings{BUT178499,
  author="Vít {Krčál} and David {Topolánek}",
  title="Fault Detection in Mesh Network Utilizing Measured Data from MV/LV Transformer Stations",
  booktitle="Proceedings of the 11th International Scientific Symposium on Electrical Power Engineering
ELEKTROENERGETIKA 2022",
  year="2022",
  series="1",
  pages="272--276",
  publisher="Technical University of Košice",
  address="Košice",
  isbn="978-80-553-4104-0"
}