Detecting Data Tampering In Synchrophasors Using Power Flow Entropy

The continuous increase in demand for electric power has resulted in extremely complex power grids. The correct operation of these grids depends on the computerized control and monitoring using a communication network. These modern power grids are equipped with phasor measurement units which play a key role in providing crucial data for the state estimator of an energy management system. The integration of a communication network with the power grid makes it vulnerable to cyber attacks in the form of data tampering. These attacks can disrupt the operation of the state estimator resulting in significant financial as well as infrastructure damage. To solve this issue, this paper proposes a technique to detect tampered data in synchrophasors using the system entropy of a power network. The results show that the proposed technique can be used as an effective tool to detect attacks on synchrophasors.