A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis

The paper offers an algorithm for detection of erroneous measurements (bad data) that occur at cyberattacks against systems for data acquisition, processing and transfer and cannot be detected by conventional methods of measurement validation at EPS state estimation. Combined application of wavelet...

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Main Authors: Kolosok Irina, Gurina Liudmila
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01029.pdf
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spelling doaj-8e1b9565f0c442a49cdbbeefd05093be2021-04-02T18:59:23ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012160102910.1051/e3sconf/202021601029e3sconf_rses2020_01029A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysisKolosok Irina0Gurina Liudmila1Melentiev Energy Systems Institute of SB RASMelentiev Energy Systems Institute of SB RASThe paper offers an algorithm for detection of erroneous measurements (bad data) that occur at cyberattacks against systems for data acquisition, processing and transfer and cannot be detected by conventional methods of measurement validation at EPS state estimation. Combined application of wavelet analysis and theory of fuzzy sets when processing the SCADA and WAMS measurements produces higher accuracy of the estimates obtained under incomplete and uncertain data and demonstrates the efficiency of proposed approach for practical computations in simulated cyberattacks.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01029.pdfwamsscadameasurementsdata qualitycertaintycyberattacksfuzzy setswavelet analysis
collection DOAJ
language English
format Article
sources DOAJ
author Kolosok Irina
Gurina Liudmila
spellingShingle Kolosok Irina
Gurina Liudmila
A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
E3S Web of Conferences
wams
scada
measurements
data quality
certainty
cyberattacks
fuzzy sets
wavelet analysis
author_facet Kolosok Irina
Gurina Liudmila
author_sort Kolosok Irina
title A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
title_short A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
title_full A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
title_fullStr A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
title_full_unstemmed A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
title_sort bad data detection approach to eps state estimation based on fuzzy sets and wavelet analysis
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description The paper offers an algorithm for detection of erroneous measurements (bad data) that occur at cyberattacks against systems for data acquisition, processing and transfer and cannot be detected by conventional methods of measurement validation at EPS state estimation. Combined application of wavelet analysis and theory of fuzzy sets when processing the SCADA and WAMS measurements produces higher accuracy of the estimates obtained under incomplete and uncertain data and demonstrates the efficiency of proposed approach for practical computations in simulated cyberattacks.
topic wams
scada
measurements
data quality
certainty
cyberattacks
fuzzy sets
wavelet analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01029.pdf
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AT kolosokirina baddatadetectionapproachtoepsstateestimationbasedonfuzzysetsandwaveletanalysis
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