Error data injection attack robustness detection method based on state estimation deviation

Abstract

The invention relates to an intelligent power grid safety technology, in particular to an error data injection attack robustness detection method based on state estimation deviation. The method comprises four steps of static weighted least square state estimation, dynamic state estimation of an additionally introduced Kalman estimator, enhancement of dynamic estimation robustness and inspection ofestimation performance consistency. According to the method, the concealment characteristic of the error data injection attack in the smart power grid is comprehensively considered, based on an original static state estimator based on weighted least squares, and according to the characteristic that an additionally introduced Kalman estimator has a transfer characteristic for a historical state ofa system and an exponential weight function can be adaptively changed according to attack intensity, the deviation of the estimated performances of the two estimators is used as an index for measuring the detection performance, so that the effective detection of the error data injection attack with the hidden characteristic in the intelligent power grid is realized.

Description

technical field [0001] The invention relates to smart grid security technology, in particular to a robust detection method for wrong data injection attack based on state estimation deviation in smart grid state estimation. Background technique [0002] The smart grid is a typical cyber-physical system. The smart grid realizes the coupling of the physical world and the network world by seamlessly integrating sensing technology, communication technology, computing technology and control technology. Compared with the traditional power network, an obvious feature of the smart grid is that a large amount of data is generated due to the two-way information interaction between the grid and users. The two-way information interaction among consumers, control center and control equipment makes energy supply and demand more efficient. However, the strong coupling between the network and the physical world also makes the smart grid more vulnerable to various cyber attacks. This is bec...

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Problems solved by technology

[0006] Aiming at the problems of the existing error data injection attack defense method in smart grid state estimation, such as high protection cost, high computational complexity, and low detection accuracy, the present invention proposes a method based on state estimation deviation in smart grid state estimation Robust detection method for false data injection attack

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