Detail publikace

Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization

VRTAL, M. KRPELÍK, D. PRAKS, P. BRIŠ, R. FUJDIAK, R. TOMAN, P.

Originální název

Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

unavailability; maintenance optimization; resilience; outage

Autoři

VRTAL, M.; KRPELÍK, D.; PRAKS, P.; BRIŠ, R.; FUJDIAK, R.; TOMAN, P.

Vydáno

7. 11. 2024

Nakladatel

Institution of Engineering and Technology

ISSN

2732-4494

Periodikum

IET conference proceedings

Ročník

2024

Číslo

27

Stát

Spojené království Velké Británie a Severního Irska

Strany od

212

Strany do

216

Strany počet

5

URL

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",
  issn="2732-4494",
  url="https://digital-library.theiet.org/doi/10.1049/icp.2024.2600"
}