Failure and Fault Classification for Smart Grids

J 2022

Failure and Fault Classification for Smart Grids

KŘIVOHLAVÁ, Zuzana; Stanislav CHREN a Bruno ROSSI

Základní údaje

Originální název

Failure and Fault Classification for Smart Grids

Autoři

KŘIVOHLAVÁ, Zuzana; Stanislav CHREN a Bruno ROSSI

Vydání

Energy Informatics, Springer, 2022, 2520-8942

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/22:00126927

Organizační jednotka

Fakulta informatiky

DOI

https://doi.org/10.1186/s42162-022-00218-3

EID Scopus

2-s2.0-85140245441

Klíčová slova anglicky

Smart Grid; Reliability Engineering; SGAM

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 3. 2023 12:00, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Smart Grid (SG) has been designed as a response to the limitations of traditional power grids caused by growing power supply demands. SG is considered a critical infrastructure in which dependability plays a crucial role and manifestation of failures can lead to severe consequences. Architecture-wise, SGs can be decomposed in several layers comprising variety of physical, software, communication and business components, each representing a potential point of failure determined by their underlying faults. In this paper, we present a systematic literature review surveying 30 different faults and failures which can occur in the SG infrastructure. The discovered faults and failures are investigated to extract details about their causes, impacts, detection techniques and counter-measures. Based on the collected information, the faults and failures are classified and mapped to Smart Grid Reference Architecture Model (SGAM), providing a useful frame of reference for practitioners and researchers dealing with hardware and software dependability in this complex domain.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

KŘIVOHLAVÁ, Zuzana; Stanislav CHREN a Bruno ROSSI. Failure and Fault Classification for Smart Grids. Energy Informatics. Springer, 2022, roč. 5, č. 1, s. 1-25. ISSN 2520-8942. Dostupné z: https://doi.org/10.1186/s42162-022-00218-3.

@article{2225445,
   author = {Křivohlavá, Zuzana and Chren, Stanislav and Rossi, Bruno},
   article_number = {1},
   doi = {https://doi.org/10.1186/s42162-022-00218-3},
   keywords = {Smart Grid; Reliability Engineering; SGAM},
   language = {eng},
   issn = {2520-8942},
   journal = {Energy Informatics},
   title = {Failure and Fault Classification for Smart Grids},
   url = {https://energyinformatics.springeropen.com/articles/10.1186/s42162-022-00218-3},
   volume = {5},
   year = {2022}
}

TY  - JOUR
ID  - 2225445
AU  - Křivohlavá, Zuzana - Chren, Stanislav - Rossi, Bruno
PY  - 2022
TI  - Failure and Fault Classification for Smart Grids
JF  - Energy Informatics
VL  - 5
IS  - 1
SP  - 1-25
EP  - 1-25
PB  - Springer
SN  - 25208942
KW  - Smart Grid
KW  - Reliability Engineering
KW  - SGAM
UR  - https://energyinformatics.springeropen.com/articles/10.1186/s42162-022-00218-3
N2  - Smart Grid (SG) has been designed as a response to the limitations of traditional power grids caused by growing power supply demands. SG is considered a critical infrastructure in which dependability plays a crucial role and manifestation of failures can lead to severe consequences. Architecture-wise, SGs can be decomposed in several layers comprising variety of physical, software, communication and business components, each representing a potential point of failure determined by their underlying faults. In this paper, we present a systematic literature review surveying 30 different faults and failures which can occur in the SG infrastructure. The discovered faults and failures are investigated to extract details about their causes, impacts, detection techniques and counter-measures. Based on the collected information, the faults and failures are classified and mapped to Smart Grid Reference Architecture Model (SGAM), providing a useful frame of reference for practitioners and researchers dealing with hardware and software dependability in this complex domain.
ER  -

KŘIVOHLAVÁ, Zuzana; Stanislav CHREN a Bruno ROSSI. Failure and Fault Classification for Smart Grids. \textit{Energy Informatics}. Springer, 2022, roč.~5, č.~1, s.~1-25. ISSN~2520-8942. Dostupné z: https://doi.org/10.1186/s42162-022-00218-3.

Přehled o publikaci