State Evaluation and Attack Signal Reconstruction of Power Cyber-Physics System Based on Intermediate Variable Observer
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8430-2_9
Reference21 articles.
1. Nawaz, R., Akhtar, R., Shahid, M.A., Qureshi, I.M., Mahmood, M.H.: Machine learning based false data injection in smart grid. Int. J. Electr. Power Energy Syst. 130, 106819 (2021)
2. Pal, A., Jolfaei, A., Kant, K.: A fast prekeying-based integrity protection for smart grid communications. IEEE Trans. Ind. Inform. 17(8), 5751–5758 (2021)
3. Wang, H., Wen, X., Huang, S., Zhou, B., Wu, Q., Liu, N.: Generalized attack separation scheme in cyber physical smart grid based on robust interval state estimation. Int. J. Electr. Power Energy Syst. 129, 106741 (2021)
4. Sanjari, I., Abdollahi, A., Rashidinejad, M., Afzali, P., Arasteh, H.: A new fuzzy model for investigating the effects of lightning on the risk-based self-scheduling strategy in a smart grid. Int. J. Electr. Power Energy Syst. 129, 106771 (2021)
5. Yassaie, N., Hallajiyan, M., Sharifi, I., Talebi, H.: Resilient control of multi-microgrids against false data injection attack. ISA Trans. 110, 238–246 (2021)
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