Title :
Enhanced protection against false data injection by dynamically changing information structure of microgrids
Author :
Talebi, Morteza ; Li, Chaoyong ; Qu, Zhihua
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
Abstract :
For a power grid, false data injection attacks attempt to exploit the configuration and information structure of the power system, introduce erroneous but conforming values into certain state variables, and evade the existing detection techniques based on residual testing, leading to severe security threat to the overall system. Accordingly, an enhanced method of evading false data injection in power grids is proposed. Since the power system can typically be partitioned into a group of microgrids the proposed approach shows that the microgrids (i.e., their boundaries and information sharing structures) are dynamically reconfigured, which makes it impossible to organize a synchronized data injection that exploits a fixed configuration and coordinately attacks certain meters in the configuration. Examples are used to demonstrate the effectiveness of the proposed scheme.
Keywords :
distributed power generation; power system management; power system protection; configuration and information structure; detection techniques; dynamically changing information structure; enhanced protection against false data injection; false data injection attacks; microgrids; power grid; power system; residual testing; security threat; Energy management; Power measurement; Smart grids; State estimation; Vectors;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250520