Electric power information network security detection system and method based on NARX neural network

Abstract

The invention provides an electric power information network security detection system and method based on an NARX neural network. The system comprises a data acquisition module used for acquiring power grid measurement information, state information and load prediction data; the optimal power flow module is used for calculating the node active power, the node reactive power, the branch active power, the branch reactive power and the node voltage amplitude of the power grid on the basis of the acquired data under the optimal power flow operation condition; the NARX neural network design module is used for modeling and training an NARX neural network based on the acquired data; the state vector prediction module is used for predicting a state vector and calculating a residual vector based on the data output by the optimal power flow module and the constructed NARX neural network; and the attack judgment module is used for carrying out 2-norm detection and maximum standardized residual detection on the residual vector, and judging whether the measurement information contains bad data or not based on comparison between a detection value and a threshold value. The method is crucial to safe and stable operation of a power system.

Description

technical field [0001] The invention relates to the field of power system network security, in particular to a power information network security detection system and method based on a NARX neural network. Background technique [0002] With the continuous development of power system construction, the degree of automation of the power grid is rapidly increasing, and the smart grid obtains real-time operation data of the power grid through large-scale sensors and complex information communication networks. While the information network provides services such as real-time data for the power grid, it also brings new challenges to the security of the power system. [0003] Various measurement data are used to analyze the real-time operating status of the system: the dispatch center can obtain the real-time operating status of the power grid through state estimation, and formulate corresponding dispatching strategies based on the judgment of the operating status of the power grid;...

AI Technical Summary

Problems solved by technology

[0004] False Data Injection Attacks (FDIA) is a common attack method in recent years. It injects false data into the measurement device, which makes the dispatching center and edge servers unable to grasp the real operating status of the system. Unreasonable control strategies will endanger the safe and economical operation of the power system

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