Electric power system false data detection method based on improved Kalman filtering

Abstract

The invention discloses an electric power system false data detection method based on improved Kalman filtering. The invention belongs to the field of power system safety. The electric power system false data detection method evaluates and classifies different nodes of a power system by using a K-means clustering method according to stability: stabilizing nodes, secondary stabilizing nodes and fragile nodes, wherein a measuring instrument collects a measured value of the SCADA; an improved adaptive unscented Kalman filtering method is used to carry out dynamic state estimation; different detection schemes are adopted for different nodes, so that the detection can be more targeted; a covariance of a residual error sequence is used, thus adaptively changing a fading factor to adjust a measured value, thus being conductive to reduction of the influence of a previous measured value and an inaccurate system model on the prediction precision; and on this basis, an adaptive rule is introducedto dynamically adjust process noise and measure noise covariance so as to improve the filtering performance of the UKF algorithm, so that the predictability of the UKF algorithm is more accurate, anddeliberately hidden false data is detected, and skewness detection is further carried out on fragile nodes, and the detection result can be more reliable.

Description

technical field [0001] The invention belongs to the field of power system security, and in particular relates to a method for detecting false data of a power system based on an improved self-adaptive unscented Kalman filter. Background technique [0002] With the deep penetration of information and communication technology in the modern power system, the flow of physical power grid and the exchange of information flow in the information network are becoming more and more frequent, and the modern power system has largely developed into a type of power information physical fusion system that integrates the physical power grid and the information network. . The large-scale introduction of advanced information and communication technology has made the modern power system "intelligent", which has improved the production efficiency, management level and consumer participation of enterprises, and the efficiency of power data processing has also been continuously improved. However,...

AI Technical Summary

Problems solved by technology

Information security accidents on the information network may pass through the power network through the coupling relationship between the information network and the power network, destroying the security and stability of the power system operation

[0003] On December 23, 2015, the Black Energy malware attacked the Ukrainian power grid, deleted and changed data files of some substation monitoring systems and issued false trip orders, causing large-scale shutdowns in at least three areas Large-scale blackout

In 2010, the data collection and monitoring control system of Iran's nuclear power plant was attacked by the Stuxnet virus, and Iran's nuclear facilities were destroyed

[0018] At this time, the false data in the measurement data cannot be found by using the residual-based bad data detection method, and the attacker can modify the measurement value and state variable to any value , endangering the safe and stable operation of the power system

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