| Autor: |
Qiang Ma, Zheng Xu, Wenting Wang, Lin Lin, Tiancheng Ren, Shuxian Yang, Jian Li |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Global Energy Interconnection, Vol 4, Iss 2, Pp 184-192 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2096-5117 |
| DOI: |
10.1016/j.gloei.2021.05.010 |
| Popis: |
This paper presents an effective and feasible method for detecting dynamic load-altering attacks (D-LAAs) in a smart grid. First, a smart grid discrete system model is established in view of D-LAAs. Second, an adaptive fading Kalman filter (AFKF) is designed for estimating the state of the smart grid. The AFKF can completely filter out the Gaussian noise of the power system, and obtain a more accurate state change curve (including consideration of the attack). A Euclidean distance ratio detection algorithm based on the AFKF is proposed for detecting D-LAAs. Amplifying imperceptible D-LAAs through the new Euclidean distance ratio improves the D-LAA detection sensitivity, especially for very weak D-LAA attacks. Finally, the feasibility and effectiveness of the Euclidean distance ratio detection algorithm are verified based on simulations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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