| Issue |
E3S Web Conf.
Volume 216, 2020
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202021601029 | |
| Published online | 14 December 2020 | |
A bad data detection approach to EPS state estimation based on fuzzy sets and wavelet analysis
Melentiev Energy Systems Institute of SB RAS, Irkutsk, Russia
* Corresponding author: gurina@isem.irk.ru
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.
Key words: WAMS / SCADA / measurements / data quality / certainty / cyberattacks / fuzzy sets / wavelet analysis
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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