Publication detail

Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization

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

Original Title

Improving Smart Grid Resilience Using Unavailability Analysis and Maintenance Optimization

Type

conference paper

Language

English

Original Abstract

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.

Keywords

unavailability; maintenance optimization; resilience; outage

Authors

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

Released

7. 11. 2024

Publisher

Institution of Engineering and Technology

ISBN

2732-4494

Periodical

IET conference proceedings

Year of study

2024

Number

27

State

United Kingdom of Great Britain and Northern Ireland

Pages from

212

Pages to

216

Pages count

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