Title :
False data injection attacks identification for smart grids
Author :
Zongshuai Hu ; Yong Wang ; Xiuxia Tian ; Xiaoli Yang ; Dejun Meng ; Rusen Fan
Author_Institution :
Dept. of Electron. & Inf. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fDate :
April 29 2015-May 1 2015
Abstract :
False Data Injection Attacks (FDIA) in Smart Grid is considered to be the most threatening cyber-physics attack. According to the variety of measurement categories in power system, a new method for false data detection and identification is presented. The main emphasis of our research is that we have equivalent measurement transformation instead of traditional weighted least squares state estimation in the process of SE and identify false data by the residual researching method. In this paper, one FDIA attack case in IEEE 14 bus system is designed by exploiting the MATLAB to test the effectiveness of the algorithm. Using this method the false data can be effectively dealt with.
Keywords :
IEEE standards; power system security; security of data; smart power grids; FDIA; IEEE 14 bus system; SE; cyberphysical attack threatening; equivalent measurement transformation; false data injection attack identification; power system; residual researching method; smart grid; Current measurement; Pollution measurement; Power measurement; Power systems; State estimation; Transmission line measurements; Weight measurement; equivalent measurement transformation; false data detection and identification; false data injection attacks; residual researching method; smart grid;
Conference_Titel :
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 Third International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4799-5679-1
DOI :
10.1109/TAEECE.2015.7113615
