Failure and fault classification for smart grids
Abstract 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. Archite...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-10-01
|
Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-022-00218-3 |
_version_ | 1798028641538408448 |
---|---|
author | Zuzana Krivohlava Stanislav Chren Bruno Rossi |
author_facet | Zuzana Krivohlava Stanislav Chren Bruno Rossi |
author_sort | Zuzana Krivohlava |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-04-11T19:12:19Z |
format | Article |
id | doaj.art-dd1cf550401c494d9ab49efea886214c |
institution | Directory Open Access Journal |
issn | 2520-8942 |
language | English |
last_indexed | 2024-04-11T19:12:19Z |
publishDate | 2022-10-01 |
publisher | SpringerOpen |
record_format | Article |
series | Energy Informatics |
spelling | doaj.art-dd1cf550401c494d9ab49efea886214c2022-12-22T04:07:36ZengSpringerOpenEnergy Informatics2520-89422022-10-015112610.1186/s42162-022-00218-3Failure and fault classification for smart gridsZuzana Krivohlava0Stanislav Chren1Bruno Rossi2Faculty of Informatics, Masaryk UniversityFaculty of Informatics, Masaryk UniversityFaculty of Informatics, Masaryk UniversityAbstract 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.https://doi.org/10.1186/s42162-022-00218-3Smart gridReliability engineeringSGAMSystematic literature review |
spellingShingle | Zuzana Krivohlava Stanislav Chren Bruno Rossi Failure and fault classification for smart grids Energy Informatics Smart grid Reliability engineering SGAM Systematic literature review |
title | Failure and fault classification for smart grids |
title_full | Failure and fault classification for smart grids |
title_fullStr | Failure and fault classification for smart grids |
title_full_unstemmed | Failure and fault classification for smart grids |
title_short | Failure and fault classification for smart grids |
title_sort | failure and fault classification for smart grids |
topic | Smart grid Reliability engineering SGAM Systematic literature review |
url | https://doi.org/10.1186/s42162-022-00218-3 |
work_keys_str_mv | AT zuzanakrivohlava failureandfaultclassificationforsmartgrids AT stanislavchren failureandfaultclassificationforsmartgrids AT brunorossi failureandfaultclassificationforsmartgrids |