Trust Value Method for False Data Injection Detection in Smart Grid

The Smart Grid (SG) is the integration of the existing traditional power system network with the communication network. The addition of communication infrastructure to the traditional power system makes it a complex network and introduced a large number of vulnerable links. Numerous information data and communication devices are involved in the SG makes it a prime target for cyber attacks. These attacks can lead to the disclosure of private data, control network failures and also lead blackouts. Hence, cyber security becomes a big concern for all power sector companies around the world. One of the most significant cyber threats to the smart grid is a false data injection attack. Security, reliability, revenue loss are the main impacts of the FDIA. Hence, this paper focuses in detection of FDI. The trust value method is proposed for FDIA detection. The detection is carried out on IEEE 14, 30, 57 and 118 bus systems. The ac state estimation using the residue based detection method and Trust value method are compared and the result was observed. Data sets of attacks are simulated on IEEE 14, 30, 57 and 118 Bus systems and the result was observed using MATLAB R2016a.