Modeling and Simulation of High Voltage Power Lines under Transient and Persistent Faults

Marius Fișcă, Mihail Abrudean, Vlad Mureșan, Iulia Clitan, Mihaela-Ligia Ungureșan (), Roxana Motorga and Emilian Ceuca
Additional contact information
Marius Fișcă: Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Mihail Abrudean: Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Vlad Mureșan: Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Iulia Clitan: Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Mihaela-Ligia Ungureșan: Physics and Chemistry Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Roxana Motorga: Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania
Emilian Ceuca: Informatics, Mathematics and Electronics Department, 1 December 1918 University, 510009 Alba Iulia, Romania

Mathematics, 2022, vol. 11, issue 1, 1-28

Abstract: The work proposes an original method for modeling and simulating the triggering of 110 kV interconnection power lines in case of common faults, such as transient or persistent faults. Urban and industrial areas, surrounding urban areas, require a high energy consumption that is being supplied through 110 kV overhead power lines, responsible for distributing power to the industrial and domestic consumers. High voltage distribution power lines are most prone to failure, due to their exposure, affecting a large number of consumers if a fault occurs. Faults of power lines in service certify that currently there is no perfectly controllable operation mode in terms of load rating, environmental factors, insulation resistance, or mechanical resistance, which would allow total avoidance of faults, it is only possible to reduce the impact they have on the network as a whole. Mathematical models have been developed to determine the experimental voltage and current responses describing the fault propagation, expressed as a 7th-degree polynomial curve, as a second-order transfer function or as the Gaussian model type. By comparing these mathematical models, the most probable answers that can lead to the development of a control structure for rapid identification of a fault were obtained, with the possibility of triggering the line protection relay. In the final part of the manuscript, the viability of applying artificial intelligence techniques, for the approached fault management application, is proven. The developed control structure evaluates the nature of the fault and determines a faster reaction of the line protection causing an increase in the performance of the distribution service.

Keywords: fault propagation modelling; interconnection power lines; high voltage power lines; power line fault; transient fault; persistent fault; rapid identification; protection system; fault control structure; artificial intelligence; neural networks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/1/21/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/1/21/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2022:i:1:p:21-:d:1009680

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().