Milos Katanic
Milos Katanic
State Estimation is an important tool in the Energy Management systems of electric power systems to monitor the state of the system. It takes measurements from the field and usually by the means of weighted least square optimization identifies the most likely system state. This step is necessary as measurements are subject to measurement errors. Traditionally, the resulting problem formulation includes the non-linear power flow equations. However, in previous work, we have derived a formulation that allows for a linear representation exhibiting the same accuracy but clearly superior computational performance to the non-linear approaches. In this project, we propose to explore how such linear formulation provides computationally efficient means to identify and filter false data injection (FDI) attacks. Protecting the power system against FDI attacks is of critical importance as many control functionalities rely on the reported state of the system.
