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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2020-01-01
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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 |
work_keys_str_mv |
AT kolosokirina abaddatadetectionapproachtoepsstateestimationbasedonfuzzysetsandwaveletanalysis AT gurinaliudmila abaddatadetectionapproachtoepsstateestimationbasedonfuzzysetsandwaveletanalysis AT kolosokirina baddatadetectionapproachtoepsstateestimationbasedonfuzzysetsandwaveletanalysis AT gurinaliudmila baddatadetectionapproachtoepsstateestimationbasedonfuzzysetsandwaveletanalysis |
_version_ |
1721550265308413952 |