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Intelligent power grid false data injection attack detection method

A false data injection attack technology, applied in the field of smart grid information security, can solve problems such as power system operating state changes, economic losses, power outages, etc., and achieve fast training speed, obvious regularity and stability, and strong generalization ability Effect

Active Publication Date: 2019-07-19
YANSHAN UNIV
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AI Technical Summary

Problems solved by technology

This kind of attack may cause the operating status of the power system to be changed, end users to steal electricity, the power market order to be disrupted, the power system to be wrongly dispatched and controlled, and even cause large-scale power outages, seriously affecting production activities, commercial activities, and transportation. etc., resulting in huge economic losses

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  • Intelligent power grid false data injection attack detection method
  • Intelligent power grid false data injection attack detection method
  • Intelligent power grid false data injection attack detection method

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Embodiment Construction

[0068] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0069] A false data injection attack detection method proposed by the present invention, based on variational mode decomposition and online sequence extreme learning machine, its flow diagram is as follows figure 1 shown, including the following steps:

[0070] Step 1: Obtain system measurement data and power system topological relationship, perform state estimation process and use power system state estimation database to collect system state historical data;

[0071] For the AC model, given the network topology, branch parameters, state variables...

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Abstract

The invention discloses an intelligent power grid false data injection attack detection method which combines a variational mode decomposition technology and a machine learning technology. The detection method is added behind a power system state estimation part, and comprises the following steps: firstly, decomposing a system state time sequence into a set of a plurality of sub-sequences with different center frequencies by using a variational mode decomposition technology; secondly, in order to compress redundant data to facilitate model training, expressing data segment characteristics by using characteristic quantities based on statistical indexes; and finally, constructing a false data injection attack detector under the smart power grid by taking the calculated feature set as a training set of an online sequential extreme learning machine. In the process, the credible authenticated data can be used as an extended training set to continuously optimize the performance of the detector with the online learning capability. The invention aims to establish an efficient and accurate false data injection attack detection method for the smart power grid to ensure safe control and stable operation of a power system.

Description

technical field [0001] The invention relates to the field of smart grid information security, in particular to a method for detecting false data injection attacks in a smart grid. The invention considers time correlation in a power system based on variational modal decomposition and an online sequence extreme learning machine. Background technique [0002] The traditional power system is deeply coupled with the communication information system and monitoring control system through the large-scale introduction of advanced information and communication technology, and the exchange of energy flow and information flow is becoming more and more frequent, forming a typical power cyber-physical system (CPS). The wide area measurement system (WAMS) and data acquisition and monitoring (SCADA) system of the power system provide measurement data and transmit control commands for the power system, while advanced application software such as the energy management system (EMS) serves as th...

Claims

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Application Information

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IPC IPC(8): H04L29/06G06K9/62G06N20/00
CPCH04L63/1466H04L63/1433G06N20/00G06F18/214
Inventor 窦春霞吴迪岳东张博张占强
Owner YANSHAN UNIV
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