Bad data detection in the smart grid
This chapter will discuss bad data detection techniques and their application in oscillation monitoring. Utilization of synchrophasor measurements for wide-area monitoring applications enables system operators to acquire real-time grid information. However, intentional injections of false synchrophasor measurements can potentially lead to inappropriate control actions, jeopardizing the security, and reliability of power transmission networks. An attacker can compromise the integrity of the monitoring algorithms by hijacking a subset of sensor measurements and sending manipulated readings. Such an approach can result to wide-area blackouts in power grids. This chapter considers bad data detection techniques with special focus on oscillation monitoring. To achieve an accurate supervision, a Bayesian inference technique has been discussed for each monitoring node using a distributed architecture.