Abstract
The paper is concerned with a dynamic state estimation algorithm in power systems under denial of service (DoS) attacks. Firstly, the character of data packet losses caused by DoS attacks is described by Bernoulli distribution, and the dynamic model of power system is reconstructed. Using Holt’s two-parameter exponential smoothing and extended Kalman filtering techniques, a dynamic state estimation algorithm is proposed, where the recursion formula of the parameter identification, state prediction and state filtering contain the statistical properties of data packet losses. Simulation results confirm the feasibility and effectiveness of the proposed algorithm.
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Acknowledgments
This work was supported in part by the National Science Foundation of China under Grant No. 61533010, and project of Science and Technology Commission of Shanghai Municipality under Grants No. 14JC1402200 and 15JC1401900.
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Yang, M., Li, X., Du, D. (2017). A Novel Dynamic State Estimation Algorithm in Power Systems Under Denial of Service Attacks. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_46
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DOI: https://doi.org/10.1007/978-981-10-6364-0_46
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