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Method of detecting power grid false data injection attack based on nonlinear measurement equation

A measurement equation and injection attack technology, which is applied in the fields of electrical digital data processing, digital data protection, special data processing applications, etc., can solve problems such as false data injection attack detection, save computing time, and improve detection accuracy Effect

Inactive Publication Date: 2017-08-04
新疆电力建设调试所有限责任公司 +2
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Problems solved by technology

[0003] The present invention provides a method for detecting false data injection attacks in power grids based on nonlinear measurement equations, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem that existing detection methods for false data injection attacks cannot solve nonlinear measurement equations. The problem of detecting fake data injection attacks

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  • Method of detecting power grid false data injection attack based on nonlinear measurement equation
  • Method of detecting power grid false data injection attack based on nonlinear measurement equation
  • Method of detecting power grid false data injection attack based on nonlinear measurement equation

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Effect test

Embodiment 1

[0051] Embodiment 1: as attached figure 1 As shown, the power grid false data injection attack detection method based on the nonlinear measurement equation includes the following steps:

[0052] Step 1: Obtain grid data. The grid historical data includes grid topology, line parameters, and historical state estimation data, wherein the grid topology includes the connection status between lines and the status of switches; line parameters include line admittance, Susceptance to ground, then enter the second step;

[0053] Step 2: Correlation analysis is performed on the grid system state and measurement, the grid system state correlation analysis includes the time correlation modeling and state prediction of the node voltage; the grid system measurement correlation analysis includes the current moment The temporal correlation between the measured value and the measured predicted value, as follows:

[0054] (1) Carry out the correlation analysis of the power grid system state, a...

Embodiment 2

[0095] Embodiment 2: as attached figure 2 As shown, in the IEEE30 system, there are 86 SCADA measurements in the system. When the IEEE30 system is in stable operation (no load mutation, generator failure, short circuit, etc.), the mean value of the SCADA measurement data is 0, and the standard deviation is 0.01 random Gaussian white noise; attack the phase angle of nodes 4 and 16, the attack range is 20% of the original value; detection threshold λ 1 =3; This emulation is under the Matlab environment and is configured as 2.5GHz, 8GB memory, and the processor is carried out on the computer of Core i5, and with the method of the present invention, traditional error mean square detection method, traditional normalization The residual error test method is used for detection at the same time.

[0096] The test results are attached figure 2 As shown, from attached figure 2 It can be seen from the figure that the detection effect of the method of the present invention is better...

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Abstract

The invention relates to the technical field of power grid data security, and is a method of detecting the power grid false data injection attack based on the nonlinear measurement equation. The method comprises the steps that in the first step, power grid data are obtained; in the second step, correlation analyses are performed on the states and measuration of the system; in the third step, innovation vectors are computed; in the fourth step, the detection and location of the false data are conducted; in the fifth step, the updates on the false data are carried out; in the sixth step, the estimations of the states are carried out. According to the method of detecting the power grid false data injection attack based on the nonlinear measurement equation, through the analyses of the correlation between states and measuration of the power grid system, the false data injection attacks which cannot be detected by traditional methods based on the measurement residuals are effectively detected, and the detection accuracy is improved; different from the multiple iterative detections in the traditional methods, the method can detect all the attacked measuration at one time, effectively saves on the computation time, and is suitable for the online applications of power grid; the method can locate specific malicious injection data and utilizes the measured predicted values to update the measuration containing fake data, and ensures that the state estimations can be rerun to obtain the system accurate running status.

Description

technical field [0001] The invention relates to the technical field of grid data security, and relates to a grid false data injection attack detection method based on nonlinear measurement equations. Background technique [0002] Smart grids widely use advanced measurement and sensing devices, such as (Phasor Measurement Unit) PMU and smart meters, which greatly improve the system's situational awareness and online monitoring capabilities, but at the same time face increasingly serious potential network security problems. Traditional power system state estimation is mainly to filter the real-time information provided by the data acquisition and monitoring system (SCADA) and PMU, so as to improve the data accuracy and eliminate the interference of wrong information, so as to obtain the real-time state database of the power system, and perform various tasks for the energy management center. This important control provides data support. So far, a relatively complete theoretica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06F21/60
Inventor 秦艳辉孙谊媊李德存沈中信刘威麟依力扎提吐尔汗高山闫亚岭王伟祁晓笑王琛焦春雷刘大贵孙冰王方楠罗忠游王四海祁伟
Owner 新疆电力建设调试所有限责任公司
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