ВинаР - Репозиторијум Института за нуклеарне науке Винча
    • English
    • Српски
    • Српски (Serbia)
  • Српски (ћирилица) 
    • Енглески
    • Српски (ћирилица)
    • Српски (латиница)
  • Пријава
Преглед записа 
  •   ВинаР
  • Vinča
  • Radovi istraživača
  • Преглед записа
  •   ВинаР
  • Vinča
  • Radovi istraživača
  • Преглед записа
JavaScript is disabled for your browser. Some features of this site may not work without it.

Identifiers for structural warnings of malfunction in power grid networks

Thumbnail
2022
Преузимање 🢃
Main article [PDF] (1.143Mb)
Аутори
Anđelković, Miroslav
Maletić, Slobodan
Tomanović, Ivan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications.
Кључне речи:
algebraic topology / simplicial complexes / complex systems / power grid network / power grid redundancy
Извор:
Thermal Science, 2022, 26, 6 part B, 5043-5051
Финансирање / пројекти:
  • Ministry of Education, Science and Technological Development of the Republic of Serbia

DOI: 10.2298/TSCI220616115A

ISSN: 0354-9836

WoS: 000908420000014

Scopus: 2-s2.0-85145775960
[ Google Scholar ]
URI
https://vinar.vin.bg.ac.rs/handle/123456789/10603
Колекције
  • 140 - Laboratorija za termotehniku i energetiku
  • Radovi istraživača
Институција/група
Vinča
TY  - JOUR
AU  - Anđelković, Miroslav
AU  - Maletić, Slobodan
AU  - Tomanović, Ivan
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10603
AB  - Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications.
T2  - Thermal Science
T1  - Identifiers for structural warnings of malfunction in power grid networks
VL  - 26
IS  - 6 part B
SP  - 5043
EP  - 5051
DO  - 10.2298/TSCI220616115A
ER  - 
@article{
author = "Anđelković, Miroslav and Maletić, Slobodan and Tomanović, Ivan",
year = "2022",
abstract = "Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications.",
journal = "Thermal Science",
title = "Identifiers for structural warnings of malfunction in power grid networks",
volume = "26",
number = "6 part B",
pages = "5043-5051",
doi = "10.2298/TSCI220616115A"
}
Anđelković, M., Maletić, S.,& Tomanović, I.. (2022). Identifiers for structural warnings of malfunction in power grid networks. in Thermal Science, 26(6 part B), 5043-5051.
https://doi.org/10.2298/TSCI220616115A
Anđelković M, Maletić S, Tomanović I. Identifiers for structural warnings of malfunction in power grid networks. in Thermal Science. 2022;26(6 part B):5043-5051.
doi:10.2298/TSCI220616115A .
Anđelković, Miroslav, Maletić, Slobodan, Tomanović, Ivan, "Identifiers for structural warnings of malfunction in power grid networks" in Thermal Science, 26, no. 6 part B (2022):5043-5051,
https://doi.org/10.2298/TSCI220616115A . .

DSpace software copyright © 2002-2015  DuraSpace
О репозиторијуму ВинаР | Пошаљите запажања

re3dataOpenAIRERCUB
 

 

Комплетан репозиторијумГрупеАуториНасловиТемеОва институцијаАуториНасловиТеме

Статистика

Преглед статистика

DSpace software copyright © 2002-2015  DuraSpace
О репозиторијуму ВинаР | Пошаљите запажања

re3dataOpenAIRERCUB