Distributed State Estimation for Smart Grids Considering Packet Dropouts

Abstract

This paper develops a distributed state estimation approach for smart grids. Particularly, the designed filter is developed in an interconnected way where the packet dropouts take place between estimators. The error function between true and estimated states is written in compact form, then it can be transformed into the linear matrix inequality (LMI). After solving the LMI problem, the desired gains are determined for the smart grid state estimation. The proposed method is applied to the IEEE 14-bus system where system state and input matrices are obtained from the Holt-Winters approach.