False Data Injection Attacks Detection In Smart Grid

The accelerated development of information technology makes most of infrastructure of government and national special departments affected,such as financial network,power system network and communication network and so on.Power system is a kind of key infrastructure,which is related to the national security and social stability.The control center of power system makes a decision and gives commands based on the real-time state of power system to ensure the normal operation of power system.False Data Injection Attack is a new kind of attack emerging in recent years.This kind of attack can avoid the detection of control center in power system,and change the results of state estimation to mislead the control center to make wrong decisions.The research of detection and defense for this kind of attacks is still in the initial state,let alone which in the distributed system.Therefore,it's very significant and valuable for analyzing and detecting the existing of bad data in the distributed networking systems within smart grid.The detection of False Data Injection Attack in distributed power system is mainly studied in this paper.First,the decomposition of power system is studied to obtain the optimal decomposition and provide a better environment for bad data detection.A novel decomposition method is proposed based on similarity of bus and safety control and privacy of power suppliers.It is learned about the theory of False Data Injection Attacks and the preprocessing of measurement data.Then a kind of state estimation method with adaptive parameter for distributed system is proposed,which improve the precision and convergence speed of algorithm and is more flexible for power system.The traditional detection methods are studied and another two algorithms are put forward-the distributed structure learning method and distributed structure learning with adaptive parameter method.The structure learning methods are based on the Markov graph of states which keeps consistent with the topology of power system in normal condition.An alarm mechanism is proposed for False Data Injection Attacks detection.At last,all the proposed methods are verified on IEEE 14-bus system in MATLAB.