Research On False Data Injection Attacks In Electric CPS State Estimation

With the continuous improvement of information,automation,and intelligence,the power system is transitioning from the traditional system based on physical networks and devices to the Cyber Physical System(CPS)with deep integration of information and physics.The frequent interaction between information space and physical space,information system and physical system has not only greatly promoted the rapid improvement of various functions of the power system,but also brought about many uncertain problems or potential risks to the stable operation of the power system.For example,security risks in information systems will be introduced into the power system as the power system and information systems are merged,and intrusion attacks on the power grid by organizations such as hackers will increase.The frequency and probabilities of attacks penetrated at the network communication layer will greatly increase,which will lead to deterioration of the security and reliability of the power system,thus threatening the stable operation of the entire power system.This paper takes the cyber security in electric CPS as research direction Based on a detailed analysis of the research status at home and abroad,the paper studies the problem of false data injection attacks in electric CPS state estimation.The main work and research results of the thesis are as follows:1)Review the research status at home and abroad.On the basis of introducing the basic concept of electric CPS,the definition of network attacks is briefly described,different types of network attacks are introduced,and the research status and main methods of False Data Injection Attacks(FDIAs)at home and abroad are analyzed in detail.2)The attack principle and detection method of FDIAs are analyzed.The electric system state estimation method and its existing bad data detection problems are introduced.The attack principles and common detection methods of FDIAs are analyzed.3)A distributed FDIAs detection method is proposed.Based on the analysis of the conventional state estimation algorithm and the characteristics of electric CPS state estimation,a new distributed power CPS state estimation method is proposed;Based on the differences and logical misalignment between the conditions required to satisfy a false data injection attack and FDIAs detection,combining the proposed distributed power CPS state estimation method,a new type of distributed FDIAs detection method is proposed to accurately locate the state variables that are under attack.Simulation examples verify the effectiveness of the proposed method.4)A FDIAs detection method based on Kalman filter using measurement predicting differential distance ratio(Measuring and Predicting Differential Distance Ratio,MPDDR)is proposed.Aiming at the characteristics of large scale and strong expansibility of electric CPS,a electric CPS state estimation method and its MPDDR-FDIAs detection method based on distributed Kalman consistent filter algorithm are proposed.Simulation examples verify the effectiveness of the proposed method.5)A summary and outlook of the full-text work is given.