发电机动态状态估计中的一种虚假数据注入攻击方法

doi:10.19595/j.cnki.1000-6753.tces.190580

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Abstract Accurate and reliable dynamic state quantities of generators are very important for real-time monitoring and control of the power system. The emergence of cyber attacks has brought new challenges to the state estimation of generators. Especially, false data injection (FDI) attacks deteriorate the accuracy of state estimation by injecting the false data into the measurement device. In this regard, this paper proposes for the first time an FDI attack model based on the dynamic state estimation of generators. Firstly, Taylor's formula was used to linearize the generator's measurement equation. Secondly, according to the principle that the measurement residuals before and after the FDI attack are equal, the expressions of the attack vectors were established, and they were applied to the measurement quantities to avoid the conventional bad data detection. Thereby, the FDI attacks were successfully implemented. Then, three attack scenarios were set according to the degree of the FDI attacks, and they were tested by the cubature Kalman filter (CKF) and the robust cubature Kalman filter (RCKF). Finally, the simulation results of the IEEE 9-bus system and the New England 16-machine 68-bus system verify the effectiveness of the proposed FDI attacks.

Key words： Dynamic state estimation cyber attacks generator cubature Kalman filter false data injection attacks PMU data

Received: 14 May 2019 Published: 07 April 2020

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	Li Yang
	Li Zhi
	Chen Liang
	Li Guoqing

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Li Yang,Li Zhi,Chen Liang等. A False Data Injection Attack Method for Generator Dynamic State Estimation[J]. Transactions of China Electrotechnical Society, 2020, 35(7): 1476-1488.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190580 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I7/1476

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