Distributed Dynamic State Estimation Considering Packet Losses in Interconnected Smart Grid Subsystems: Linear Matrix Inequality Approach

Md Masud Rana, Amir Shahirinia
2019 IEEE Access  
This paper proposes a distributed dynamic state estimation algorithm considering packet losses in interconnected smart grid subsystems. Particularly, the distributed filter structure is developed in an interconnected way where the packet dropouts occur in communication links between them. The system error dynamic between true and estimate state is written in a compact form after combining all estimation errors. It can be transformed into the linear matrix inequality framework after introducing
more » ... after introducing semidefinite programming variables. Finally, the local and neighboring gains for the distributed estimator are computed after solving the convex optimization problem. The explore method is applied to the IEEE 14-bus system. In doing this, the state-space model of IEEE 14-bus is obtained using the Holt-Winters method. Simulation results are demonstrated considering packet losses and cyber attacks. INDEX TERMS Communication networks, distributed dynamic state estimation, Holt-Winters method, interconnected subsystems, linear matrix inequality, packet dropouts, smart grids.
doi:10.1109/access.2019.2949995 fatcat:umrgsr7z2jegdg4t2447lpinvu