J 2022

Failure and Fault Classification for Smart Grids

KŘIVOHLAVÁ, Zuzana, Stanislav CHREN and Bruno ROSSI

Basic information

Original name

Failure and Fault Classification for Smart Grids

Authors

KŘIVOHLAVÁ, Zuzana (203 Czech Republic, belonging to the institution), Stanislav CHREN (703 Slovakia, guarantor, belonging to the institution) and Bruno ROSSI (380 Italy, belonging to the institution)

Edition

Energy Informatics, Springer, 2022, 2520-8942

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/00216224:14330/22:00126927

Organization unit

Faculty of Informatics

DOI

Keywords in English

Smart Grid; Reliability Engineering; SGAM

Tags

International impact, Reviewed
Změněno: 28/3/2023 12:00, RNDr. Pavel Šmerk, Ph.D.

Abstract

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.

Links

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development project
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur