Research On False Data Injection Attacks Detection Method In Smart Grid

False data injection attacks is a new attack method for power system state estimation in smart grid,which is a typical data integrity attack method.FDIAs have successfully bypassed the traditional bad data detection mechanism by tampering with the state estimation value of the power grid,so that the control center makes wrong decisions and causes serious physical power grid faults.It is very important to study the efficient and feasible detection method of FDIAs,which is of great significance to the construction of the safe and stable operation of smart grid cyber physical system.In this paper,we focus on studying the detection methods of FDIAs.By analyzing the theory of FDIAs and the research status at home and abroad,the existing detection methods are compared and analyzed from two aspects: centralized detection and distributed detection.Most of the existing detection methods neglect the influence of FDIAs on the physical characteristics of power grid and the relationship between them.When FDIAs are detected,there are few detection methods to restore the system measurements to restore the system to normal operation in a relatively short period of time.Existing distributed detection methods are usually based on different geographical regions will be divided into different sub-network power system,are costly economic costs.In order to solve the above problems,in this paper,we propose a detection method based on the node voltage stability index and a two-level detection method based on the H-matrix division for zero-space mapping from the two aspects of centralized and distributed.Based on the node voltage stability index detection method,the node voltage stability index is introduced to analyze the impact of FDIAs on NVSI value.According to the node’s NVSI value,the improved clustering algorithm is used to cluster the nodes to identify the node’s vulnerability level.For the nodes with high vulnerability,the state forecasting detection method is proposed to realize FDIAs detection.If FDIAs exist,the system will return to normal operation state by updating the measurement with the predicted value of measurement.In the two-level detection method based on matrix segmentation,the linear correlation between each row of Jacobian matrix H is analyzed.H-matrix division algorithm based on matrix similarity is designed to divide the detected power system.In each sub-network system,null space mapping detection method is proposed to implement FDIAs detection;when FDIAs exist,the null space inverse mapping method is used to measure the amount of recovery.In order to verify the feasibility and effectiveness of the proposed method,the Matpower power simulation package is used to simulate the IEEE 14-bus,IEEE 30-bus and IEEE 118-bus standard test systems.The experimental results show that the method based on the node voltage stability can reduce the cost of NVSI in small scale system,and the cost is low.When the system size is large,the null space mapping detection based on H-matrix division can effectively resisting FDIAs,and have high detection rate.