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Detail publikačního výsledku
VRTAL, M.; KRPELÍK, D.; PRAKS, P.; BRIŠ, R.; FUJDIAK, R.; TOMAN, P.
Originální název
Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper presents possibilities of maintenance optimization in smart grids to enhance system resilience. First, methods for calculating unavailability of interconnected is introduced. Different modes of operation for individual system components, which may be either restored upon randomly occurring failure, or maintained using preventive actions are considered. Mathematical models for computing time dependent unavailability for both cases are presented. Subsequently, an optimization task is constructed to minimize both the system operations costs and its average unavailability for a selected mission time using multi-objective optimization methods. The entire issue is explained on a simplified model of smart grid based on real critical infrastructure. Presented results prove that efficient implementation of mathematical models of system operations can enable resolution of complex optimization problems in reasonable time.
Anglický abstrakt
Klíčová slova
unavailability; maintenance optimization; resilience; outage
Klíčová slova v angličtině
Autoři
Rok RIV
2026
Vydáno
07.11.2024
Nakladatel
Institution of Engineering and Technology
Kniha
IET Conference Proceedings
ISSN
2732-4494
Periodikum
IET conference proceedings
Svazek
2024
Číslo
27
Stát
Spojené království Velké Británie a Severního Irska
Strany od
212
Strany do
216
Strany počet
5
URL
https://digital-library.theiet.org/doi/10.1049/icp.2024.2600
BibTex
@inproceedings{BUT191146, author="Matěj {Vrtal} and Daniel {Krpelík} and Pavel {Praks} and Radim {Briš} and Radek {Fujdiak} and Petr {Toman}", title="Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization ", booktitle="IET Conference Proceedings", year="2024", journal="IET conference proceedings", volume="2024", number="27", pages="212--216", publisher="Institution of Engineering and Technology", doi="10.1049/icp.2024.2600", url="https://digital-library.theiet.org/doi/10.1049/icp.2024.2600" }