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...

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Main Authors: Zuzana Krivohlava, Stanislav Chren, Bruno Rossi
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Energy Informatics
Subjects:
Online Access:https://doi.org/10.1186/s42162-022-00218-3
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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.
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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
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AT stanislavchren failureandfaultclassificationforsmartgrids
AT brunorossi failureandfaultclassificationforsmartgrids