A consensus approach to dynamic state estimation for smart grid power systems

We propose a distributed dynamic state estimator based on the multi-agent system (MAS) framework and on the availability of supervised control and data acquisition (SCADA) systems. We assume that the power system is modeled by a linear DC power flow model and is operating in a quasi-steady state. The phase angle at the network buses is modeled as a heterogeneous MAS with discrete time dynamics. Conditions on the existence of a distributed estimator are derived and a solution is proposed to construct the estimator gain.